Overview

Brought to you by YData

Dataset statistics

Number of variables208
Number of observations162
Missing cells8858
Missing cells (%)26.3%
Total size in memory278.6 KiB
Average record size in memory1.7 KiB

Variable types

Text5
Numeric177
DateTime3
Unsupported3
Boolean20

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
experimentidExperiment Id
lastpagelastpage
submitdatesubmitdate
startlanguagestartlanguage
startdatestartdate
datestampdatestamp
refurlrefurl
A00_1nan
A00_2nan
A01Which gender were you born? Answer: Male, Female
A02When were you born? Answer: Year |___|
A03What is your nationality? Answer: List, see Appendix
A04NUMIn what faculty/department are you studying?
A04UCIn what faculty/department are you studying?
A04UNITNIn what faculty/department are you studying?
A05Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A05UNITNType of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)
A07Course year Answer: |__|
A11NUMWhat kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
A11What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends
R03nan
B01_1Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,
B01_2Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings
B01_3Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away
B01_4Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings
B01_5Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination
B01_6Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot
B01_7Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems
B01_8Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place
B01_9Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time
B01_10Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas
B01_11Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties
B01_12Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,
B01_13Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order
B01_14Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily
B01_15Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas
B01_16Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background
B01_17Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others
B01_18Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things
B01_19Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue
B01_20Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination
G02_1How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays
G02_2How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.
G02_3How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance
G02_4How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music
G02_5How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera
G02_6How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical
G02_7How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock
G02_8How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue
G02_9How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert
G02_10How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music
G02_11How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)
G02_12How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house
G02_13How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music
G02_14How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter
G02_15How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music
G02_16How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event
G01_1Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play
G01_2Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play
G01_3Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian
G01_4Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped
G01_5Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument
G01_6Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band
G01_7Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ
G01_8Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),
G01_9Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance
T01_1Do you have a car driver’s license? Answer: 1. Yes, 2. No
T01_2Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No
T01_3Do you have a bike of your own? Answer: 1. Yes, 2. No
T01_4Do you have a car of your own? Answer: 1. Yes, 2. No
T01_5Do you have a motorbike of your own? Answer: 1. Yes, 2. No
T01_6Do you have access to a car whenever you want? Answer: 1. Yes, 2. No
T01_7Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No
T02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
T02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
T02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
T02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
T02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
T02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
T02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
T02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
C01Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.
C04C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve
C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet
C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet
C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons
C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly
C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight
C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.
C08Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.
C10_1Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic
C10_2Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile
C10_3Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements
C10_4Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...
C10_5Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items
C10_6Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free
C10_7Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven
C12_1How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)
C12_2How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops
C12_3How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets
C12_4How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket
C12_5How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets
D01Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No
D02Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]
D03_1During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping
D03_2During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates
D03_3During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing
D03_4During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups
D03_5During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball
D03_6During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo
D03_7During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash
D03_8During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding
D04How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week
D06_1When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers
D06_2When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches
D06_3When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps
D06_4When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones
D06_5When exercising, which of the following devices do you use? (Multiple choice)
D06_otherWhen exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______
M01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.
M01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
M01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.
M01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.
M01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.
M01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.
M01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.
M01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.
M01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
M01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.
M01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.
M01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.
M01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.
M01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).
M01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.
M01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school
M01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately
M01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.
M01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody
M01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune
M01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to
M01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people
M01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.
M01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.
M01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.
M01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.
M01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.
M01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.
M01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature
M01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me
M01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.
M01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.
M01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.
M01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.
M01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.
F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things
F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know
F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does
F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try
F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people
F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people
F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures
F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says
F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them
F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them
F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires
F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess
F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is
F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself
F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows
F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life
F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them
F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others
F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself
F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected
F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them
F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself
F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader
F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
interviewtimeinterviewtime
GT_A00nan
GT_A01nan
GT_Rnan
GT_Bnan
GT_Gnan
GT_Fnan
GT_Tnan
GT_Cnan
GT_Dnan
GT_Mnan
GT_Inan

Alerts

experimentid has constant value "wenetMongolia2" Constant
startlanguage has constant value "mn" Constant
refurl has constant value "mail" Constant
A03 has constant value "139" Constant
A05 has constant value "1" Constant
T01_2 has constant value "2" Constant
T02_5 has constant value "False" Constant
T02_8 has constant value "False" Constant
C07_2 has constant value "False" Constant
D06_1 has constant value "False" Constant
T02_2 is highly imbalanced (75.6%) Imbalance
T02_7 is highly imbalanced (93.2%) Imbalance
C07_3 is highly imbalanced (88.0%) Imbalance
C07_5 is highly imbalanced (59.3%) Imbalance
D06_2 is highly imbalanced (51.8%) Imbalance
D06_3 is highly imbalanced (75.0%) Imbalance
lastpage has 14 (8.6%) missing values Missing
submitdate has 40 (24.7%) missing values Missing
refurl has 9 (5.6%) missing values Missing
A00_1 has 15 (9.3%) missing values Missing
A00_2 has 16 (9.9%) missing values Missing
A01 has 23 (14.2%) missing values Missing
A02 has 23 (14.2%) missing values Missing
A03 has 19 (11.7%) missing values Missing
A04NUM has 24 (14.8%) missing values Missing
A04UC has 162 (100.0%) missing values Missing
A04UNITN has 162 (100.0%) missing values Missing
A05 has 23 (14.2%) missing values Missing
A05UNITN has 162 (100.0%) missing values Missing
A07 has 23 (14.2%) missing values Missing
A11NUM has 23 (14.2%) missing values Missing
A11 has 23 (14.2%) missing values Missing
R03 has 24 (14.8%) missing values Missing
B01_1 has 26 (16.0%) missing values Missing
B01_2 has 26 (16.0%) missing values Missing
B01_3 has 26 (16.0%) missing values Missing
B01_4 has 26 (16.0%) missing values Missing
B01_5 has 26 (16.0%) missing values Missing
B01_6 has 26 (16.0%) missing values Missing
B01_7 has 26 (16.0%) missing values Missing
B01_8 has 27 (16.7%) missing values Missing
B01_9 has 26 (16.0%) missing values Missing
B01_10 has 26 (16.0%) missing values Missing
B01_11 has 26 (16.0%) missing values Missing
B01_12 has 26 (16.0%) missing values Missing
B01_13 has 26 (16.0%) missing values Missing
B01_14 has 26 (16.0%) missing values Missing
B01_15 has 26 (16.0%) missing values Missing
B01_16 has 27 (16.7%) missing values Missing
B01_17 has 27 (16.7%) missing values Missing
B01_18 has 26 (16.0%) missing values Missing
B01_19 has 29 (17.9%) missing values Missing
B01_20 has 27 (16.7%) missing values Missing
G02_1 has 29 (17.9%) missing values Missing
G02_2 has 29 (17.9%) missing values Missing
G02_3 has 30 (18.5%) missing values Missing
G02_4 has 30 (18.5%) missing values Missing
G02_5 has 29 (17.9%) missing values Missing
G02_6 has 29 (17.9%) missing values Missing
G02_7 has 29 (17.9%) missing values Missing
G02_8 has 31 (19.1%) missing values Missing
G02_9 has 30 (18.5%) missing values Missing
G02_10 has 29 (17.9%) missing values Missing
G02_11 has 31 (19.1%) missing values Missing
G02_12 has 29 (17.9%) missing values Missing
G02_13 has 29 (17.9%) missing values Missing
G02_14 has 29 (17.9%) missing values Missing
G02_15 has 30 (18.5%) missing values Missing
G02_16 has 30 (18.5%) missing values Missing
G01_1 has 29 (17.9%) missing values Missing
G01_2 has 29 (17.9%) missing values Missing
G01_3 has 30 (18.5%) missing values Missing
G01_4 has 29 (17.9%) missing values Missing
G01_5 has 29 (17.9%) missing values Missing
G01_6 has 29 (17.9%) missing values Missing
G01_7 has 29 (17.9%) missing values Missing
G01_8 has 29 (17.9%) missing values Missing
G01_9 has 29 (17.9%) missing values Missing
T01_1 has 38 (23.5%) missing values Missing
T01_2 has 38 (23.5%) missing values Missing
T01_3 has 38 (23.5%) missing values Missing
T01_4 has 38 (23.5%) missing values Missing
T01_5 has 38 (23.5%) missing values Missing
T01_6 has 38 (23.5%) missing values Missing
T01_7 has 38 (23.5%) missing values Missing
T02_1 has 38 (23.5%) missing values Missing
T02_2 has 38 (23.5%) missing values Missing
T02_3 has 38 (23.5%) missing values Missing
T02_4 has 38 (23.5%) missing values Missing
T02_5 has 38 (23.5%) missing values Missing
T02_6 has 38 (23.5%) missing values Missing
T02_7 has 38 (23.5%) missing values Missing
T02_8 has 38 (23.5%) missing values Missing
C01 has 39 (24.1%) missing values Missing
C04 has 39 (24.1%) missing values Missing
C07_1 has 39 (24.1%) missing values Missing
C07_2 has 39 (24.1%) missing values Missing
C07_3 has 39 (24.1%) missing values Missing
C07_4 has 39 (24.1%) missing values Missing
C07_5 has 39 (24.1%) missing values Missing
C07_6 has 39 (24.1%) missing values Missing
C07_7 has 39 (24.1%) missing values Missing
C08 has 41 (25.3%) missing values Missing
C10_1 has 42 (25.9%) missing values Missing
C10_2 has 40 (24.7%) missing values Missing
C10_3 has 40 (24.7%) missing values Missing
C10_4 has 40 (24.7%) missing values Missing
C10_5 has 40 (24.7%) missing values Missing
C10_6 has 40 (24.7%) missing values Missing
C10_7 has 40 (24.7%) missing values Missing
C12_1 has 42 (25.9%) missing values Missing
C12_2 has 41 (25.3%) missing values Missing
C12_3 has 39 (24.1%) missing values Missing
C12_4 has 40 (24.7%) missing values Missing
C12_5 has 40 (24.7%) missing values Missing
D01 has 41 (25.3%) missing values Missing
D02 has 41 (25.3%) missing values Missing
D03_1 has 115 (71.0%) missing values Missing
D03_2 has 114 (70.4%) missing values Missing
D03_3 has 116 (71.6%) missing values Missing
D03_4 has 114 (70.4%) missing values Missing
D03_5 has 114 (70.4%) missing values Missing
D03_6 has 114 (70.4%) missing values Missing
D03_7 has 114 (70.4%) missing values Missing
D03_8 has 114 (70.4%) missing values Missing
D04 has 114 (70.4%) missing values Missing
D06_1 has 114 (70.4%) missing values Missing
D06_2 has 114 (70.4%) missing values Missing
D06_3 has 114 (70.4%) missing values Missing
D06_4 has 114 (70.4%) missing values Missing
D06_5 has 114 (70.4%) missing values Missing
D06_other has 157 (96.9%) missing values Missing
M01_1 has 44 (27.2%) missing values Missing
M01_2 has 44 (27.2%) missing values Missing
M01_3 has 45 (27.8%) missing values Missing
M01_4 has 44 (27.2%) missing values Missing
M01_5 has 44 (27.2%) missing values Missing
M01_6 has 44 (27.2%) missing values Missing
M01_7 has 44 (27.2%) missing values Missing
M01_8 has 44 (27.2%) missing values Missing
M01_9 has 44 (27.2%) missing values Missing
M01_10 has 44 (27.2%) missing values Missing
M01_11 has 44 (27.2%) missing values Missing
M01_12 has 44 (27.2%) missing values Missing
M01_13 has 44 (27.2%) missing values Missing
M01_14 has 44 (27.2%) missing values Missing
M01_15 has 44 (27.2%) missing values Missing
M01_16 has 46 (28.4%) missing values Missing
M01_17 has 44 (27.2%) missing values Missing
M01_18 has 45 (27.8%) missing values Missing
M01_19 has 44 (27.2%) missing values Missing
M01_20 has 44 (27.2%) missing values Missing
M01_21 has 44 (27.2%) missing values Missing
M01_22 has 46 (28.4%) missing values Missing
M01_23 has 44 (27.2%) missing values Missing
M01_24 has 45 (27.8%) missing values Missing
M01_25 has 44 (27.2%) missing values Missing
M01_26 has 44 (27.2%) missing values Missing
M01_27 has 46 (28.4%) missing values Missing
M01_28 has 44 (27.2%) missing values Missing
M01_29 has 44 (27.2%) missing values Missing
M01_30 has 44 (27.2%) missing values Missing
M01_31 has 45 (27.8%) missing values Missing
M01_32 has 45 (27.8%) missing values Missing
M01_33 has 44 (27.2%) missing values Missing
M01_34 has 45 (27.8%) missing values Missing
M01_35 has 44 (27.2%) missing values Missing
F01_1 has 39 (24.1%) missing values Missing
F01_2 has 39 (24.1%) missing values Missing
F01_3 has 40 (24.7%) missing values Missing
F01_4 has 39 (24.1%) missing values Missing
F01_5 has 40 (24.7%) missing values Missing
F01_6 has 40 (24.7%) missing values Missing
F01_7 has 40 (24.7%) missing values Missing
F01_8 has 40 (24.7%) missing values Missing
F01_9 has 40 (24.7%) missing values Missing
F01_10 has 40 (24.7%) missing values Missing
F01_11 has 40 (24.7%) missing values Missing
F01_12 has 41 (25.3%) missing values Missing
F01_13 has 40 (24.7%) missing values Missing
F01_14 has 40 (24.7%) missing values Missing
F01_15 has 42 (25.9%) missing values Missing
F01_16 has 40 (24.7%) missing values Missing
F01_17 has 41 (25.3%) missing values Missing
F01_18 has 41 (25.3%) missing values Missing
F01_19 has 41 (25.3%) missing values Missing
F01_20 has 41 (25.3%) missing values Missing
F01_21 has 40 (24.7%) missing values Missing
F01_22 has 40 (24.7%) missing values Missing
F01_23 has 40 (24.7%) missing values Missing
F01_24 has 40 (24.7%) missing values Missing
F01_25 has 42 (25.9%) missing values Missing
F01_26 has 42 (25.9%) missing values Missing
F01_27 has 42 (25.9%) missing values Missing
F01_28 has 43 (26.5%) missing values Missing
F01_29 has 41 (25.3%) missing values Missing
F01_30 has 41 (25.3%) missing values Missing
F01_31 has 41 (25.3%) missing values Missing
F01_32 has 41 (25.3%) missing values Missing
F01_33 has 40 (24.7%) missing values Missing
F01_34 has 41 (25.3%) missing values Missing
F01_35 has 40 (24.7%) missing values Missing
F01_36 has 40 (24.7%) missing values Missing
F01_37 has 40 (24.7%) missing values Missing
F01_38 has 40 (24.7%) missing values Missing
F01_39 has 41 (25.3%) missing values Missing
F01_40 has 40 (24.7%) missing values Missing
GT_A00 has 14 (8.6%) missing values Missing
GT_A01 has 23 (14.2%) missing values Missing
GT_R has 23 (14.2%) missing values Missing
GT_B has 26 (16.0%) missing values Missing
GT_G has 29 (17.9%) missing values Missing
GT_F has 37 (22.8%) missing values Missing
GT_T has 38 (23.5%) missing values Missing
GT_C has 39 (24.1%) missing values Missing
GT_D has 41 (25.3%) missing values Missing
GT_M has 43 (26.5%) missing values Missing
GT_I has 43 (26.5%) missing values Missing
startdate has unique values Unique
A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
R03 has 40 (24.7%) zeros Zeros
interviewtime has 14 (8.6%) zeros Zeros

Reproduction

Analysis started2025-03-05 08:49:29.738823
Analysis finished2025-03-05 08:49:32.185143
Duration2.45 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

token

Distinct153
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2025-03-05T09:49:32.407027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters2430
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)89.5%

Sample

1st rowcAYdK8TeTjQykxf
2nd rowczzK38s0cnocIjn
3rd rowy2IvwWlPbB3RQH3
4th rowvxDCo8NpzLv0Uhw
5th rowlyD2kys1B1cBWUe
ValueCountFrequency (%)
zk4ycflq00fgufo 3
 
1.9%
caydk8tetjqykxf 2
 
1.2%
q6r0tqmdtfmnvp0 2
 
1.2%
dghtwrnw2y51hjq 2
 
1.2%
zqnjz37kqkwmdvz 2
 
1.2%
vkflzaamycvjr8h 2
 
1.2%
o9zmmufbryu9bdz 2
 
1.2%
9cawgmwsgk1kt8a 2
 
1.2%
czzk38s0cnocijn 1
 
0.6%
y2ivwwlpbb3rqh3 1
 
0.6%
Other values (143) 143
88.3%
2025-03-05T09:49:33.150948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 79
 
3.3%
a 68
 
2.8%
f 54
 
2.2%
e 53
 
2.2%
c 51
 
2.1%
Q 51
 
2.1%
M 51
 
2.1%
T 48
 
2.0%
x 48
 
2.0%
P 48
 
2.0%
Other values (52) 1879
77.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2430
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 79
 
3.3%
a 68
 
2.8%
f 54
 
2.2%
e 53
 
2.2%
c 51
 
2.1%
Q 51
 
2.1%
M 51
 
2.1%
T 48
 
2.0%
x 48
 
2.0%
P 48
 
2.0%
Other values (52) 1879
77.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2430
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 79
 
3.3%
a 68
 
2.8%
f 54
 
2.2%
e 53
 
2.2%
c 51
 
2.1%
Q 51
 
2.1%
M 51
 
2.1%
T 48
 
2.0%
x 48
 
2.0%
P 48
 
2.0%
Other values (52) 1879
77.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2430
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 79
 
3.3%
a 68
 
2.8%
f 54
 
2.2%
e 53
 
2.2%
c 51
 
2.1%
Q 51
 
2.1%
M 51
 
2.1%
T 48
 
2.0%
x 48
 
2.0%
P 48
 
2.0%
Other values (52) 1879
77.3%

experimentid
Text

Constant 

Experiment Id

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2025-03-05T09:49:33.350188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters2268
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMongolia2
2nd rowwenetMongolia2
3rd rowwenetMongolia2
4th rowwenetMongolia2
5th rowwenetMongolia2
ValueCountFrequency (%)
wenetmongolia2 162
100.0%
2025-03-05T09:49:33.781963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 324
14.3%
n 324
14.3%
o 324
14.3%
w 162
7.1%
t 162
7.1%
M 162
7.1%
g 162
7.1%
l 162
7.1%
i 162
7.1%
a 162
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2268
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 324
14.3%
n 324
14.3%
o 324
14.3%
w 162
7.1%
t 162
7.1%
M 162
7.1%
g 162
7.1%
l 162
7.1%
i 162
7.1%
a 162
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2268
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 324
14.3%
n 324
14.3%
o 324
14.3%
w 162
7.1%
t 162
7.1%
M 162
7.1%
g 162
7.1%
l 162
7.1%
i 162
7.1%
a 162
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2268
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 324
14.3%
n 324
14.3%
o 324
14.3%
w 162
7.1%
t 162
7.1%
M 162
7.1%
g 162
7.1%
l 162
7.1%
i 162
7.1%
a 162
7.1%

lastpage
Real number (ℝ)

Missing 

lastpage

Distinct9
Distinct (%)6.1%
Missing14
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean9.797297297
Minimum-1
Maximum11
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.2%
Memory size1.6 KiB
2025-03-05T09:49:33.987710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile3
Q111
median11
Q311
95-th percentile11
Maximum11
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.847506271
Coefficient of variation (CV)0.2906420194
Kurtosis4.120315377
Mean9.797297297
Median Absolute Deviation (MAD)0
Skewness-2.290218038
Sum1450
Variance8.108291965
MonotonicityNot monotonic
2025-03-05T09:49:34.227808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
11 122
75.3%
5 8
 
4.9%
1 4
 
2.5%
4 4
 
2.5%
3 3
 
1.9%
-1 2
 
1.2%
8 2
 
1.2%
9 2
 
1.2%
7 1
 
0.6%
(Missing) 14
 
8.6%
ValueCountFrequency (%)
-1 2
 
1.2%
1 4
2.5%
3 3
 
1.9%
4 4
2.5%
5 8
4.9%
ValueCountFrequency (%)
11 122
75.3%
9 2
 
1.2%
8 2
 
1.2%
7 1
 
0.6%
5 8
 
4.9%

submitdate
Date

Missing 

submitdate

Distinct122
Distinct (%)100.0%
Missing40
Missing (%)24.7%
Memory size1.4 KiB
Minimum2021-10-20 08:23:22
Maximum2021-11-16 14:32:59
2025-03-05T09:49:34.529398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:49:34.900417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2025-03-05T09:49:35.085454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters324
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmn
2nd rowmn
3rd rowmn
4th rowmn
5th rowmn
ValueCountFrequency (%)
mn 162
100.0%
2025-03-05T09:49:35.469072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 162
50.0%
n 162
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 324
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 162
50.0%
n 162
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 324
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 162
50.0%
n 162
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 324
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 162
50.0%
n 162
50.0%

startdate
Date

Unique 

startdate

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2021-10-20 07:09:37
Maximum2021-11-16 14:32:47
2025-03-05T09:49:35.737488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:49:36.075744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

datestamp
Date

datestamp

Distinct161
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2021-10-20 07:10:38
Maximum2021-11-16 14:32:59
2025-03-05T09:49:36.392389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-03-05T09:49:36.721717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

refurl
Text

Constant  Missing 

refurl

Distinct1
Distinct (%)0.7%
Missing9
Missing (%)5.6%
Memory size2.0 KiB
2025-03-05T09:49:36.911589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters612
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmail
2nd rowmail
3rd rowmail
4th rowmail
5th rowmail
ValueCountFrequency (%)
mail 153
100.0%
2025-03-05T09:49:37.302298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 153
25.0%
a 153
25.0%
i 153
25.0%
l 153
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 153
25.0%
a 153
25.0%
i 153
25.0%
l 153
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 153
25.0%
a 153
25.0%
i 153
25.0%
l 153
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 153
25.0%
a 153
25.0%
i 153
25.0%
l 153
25.0%

A00_1
Real number (ℝ)

Missing 

nan

Distinct2
Distinct (%)1.4%
Missing15
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.020408163
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:37.516841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1418752952
Coefficient of variation (CV)0.1390377893
Kurtosis45.59761335
Mean1.020408163
Median Absolute Deviation (MAD)0
Skewness6.854003664
Sum150
Variance0.02012859938
MonotonicityNot monotonic
2025-03-05T09:49:37.760369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 144
88.9%
2 3
 
1.9%
(Missing) 15
 
9.3%
ValueCountFrequency (%)
1 144
88.9%
2 3
 
1.9%
ValueCountFrequency (%)
2 3
 
1.9%
1 144
88.9%

A00_2
Real number (ℝ)

Missing 

nan

Distinct2
Distinct (%)1.4%
Missing16
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1.102739726
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:37.990199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3046637956
Coefficient of variation (CV)0.2762789699
Kurtosis5.060297633
Mean1.102739726
Median Absolute Deviation (MAD)0
Skewness2.644080351
Sum161
Variance0.09282002834
MonotonicityNot monotonic
2025-03-05T09:49:38.225301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 131
80.9%
2 15
 
9.3%
(Missing) 16
 
9.9%
ValueCountFrequency (%)
1 131
80.9%
2 15
 
9.3%
ValueCountFrequency (%)
2 15
 
9.3%
1 131
80.9%

A01
Real number (ℝ)

Missing 

Which gender were you born? Answer: Male, Female

Distinct2
Distinct (%)1.4%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean1.690647482
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:38.452331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4638984282
Coefficient of variation (CV)0.2743909852
Kurtosis-1.323809937
Mean1.690647482
Median Absolute Deviation (MAD)0
Skewness-0.8339353841
Sum235
Variance0.2152017516
MonotonicityNot monotonic
2025-03-05T09:49:38.695315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 96
59.3%
1 43
26.5%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
1 43
26.5%
2 96
59.3%
ValueCountFrequency (%)
2 96
59.3%
1 43
26.5%

A02
Real number (ℝ)

Missing 

When were you born? Answer: Year |___|

Distinct8
Distinct (%)5.8%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean2000.676259
Minimum1994
Maximum2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:38.943280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile1999
Q12000
median2001
Q32002
95-th percentile2002
Maximum2003
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.275271084
Coefficient of variation (CV)0.0006374200116
Kurtosis4.443138037
Mean2000.676259
Median Absolute Deviation (MAD)1
Skewness-1.390712871
Sum278094
Variance1.626316338
MonotonicityNot monotonic
2025-03-05T09:49:39.185418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2001 44
27.2%
2002 40
24.7%
2000 31
19.1%
1999 18
11.1%
1998 3
 
1.9%
2003 1
 
0.6%
1997 1
 
0.6%
1994 1
 
0.6%
(Missing) 23
14.2%
ValueCountFrequency (%)
1994 1
 
0.6%
1997 1
 
0.6%
1998 3
 
1.9%
1999 18
11.1%
2000 31
19.1%
ValueCountFrequency (%)
2003 1
 
0.6%
2002 40
24.7%
2001 44
27.2%
2000 31
19.1%
1999 18
11.1%

A03
Real number (ℝ)

Constant  Missing 

What is your nationality? Answer: List, see Appendix

Distinct1
Distinct (%)0.7%
Missing19
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean139
Minimum139
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:39.417366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum139
5-th percentile139
Q1139
median139
Q3139
95-th percentile139
Maximum139
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean139
Median Absolute Deviation (MAD)0
Skewness0
Sum19877
Variance0
MonotonicityIncreasing
2025-03-05T09:49:39.650968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
139 143
88.3%
(Missing) 19
 
11.7%
ValueCountFrequency (%)
139 143
88.3%
ValueCountFrequency (%)
139 143
88.3%

A04NUM
Real number (ℝ)

Missing 

In what faculty/department are you studying?

Distinct7
Distinct (%)5.1%
Missing24
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean4.173913043
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:39.868574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.803941522
Coefficient of variation (CV)0.4321943229
Kurtosis-0.5978632516
Mean4.173913043
Median Absolute Deviation (MAD)1
Skewness-0.3473818014
Sum576
Variance3.254205014
MonotonicityNot monotonic
2025-03-05T09:49:40.088338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 45
27.8%
5 25
15.4%
1 21
13.0%
6 18
 
11.1%
7 15
 
9.3%
3 9
 
5.6%
2 5
 
3.1%
(Missing) 24
14.8%
ValueCountFrequency (%)
1 21
13.0%
2 5
 
3.1%
3 9
 
5.6%
4 45
27.8%
5 25
15.4%
ValueCountFrequency (%)
7 15
 
9.3%
6 18
 
11.1%
5 25
15.4%
4 45
27.8%
3 9
 
5.6%

A04UC
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing162
Missing (%)100.0%
Memory size1.6 KiB

A04UNITN
Unsupported

Missing  Rejected  Unsupported 

In what faculty/department are you studying?

Missing162
Missing (%)100.0%
Memory size1.6 KiB

A05
Real number (ℝ)

Constant  Missing 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Distinct1
Distinct (%)0.7%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:40.312116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum139
Variance0
MonotonicityIncreasing
2025-03-05T09:49:40.540371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 139
85.8%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
1 139
85.8%
ValueCountFrequency (%)
1 139
85.8%

A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree Answer: 1. BSc, 2. MSc, 3. 5 years (UNITN)

Missing162
Missing (%)100.0%
Memory size1.6 KiB

A07
Real number (ℝ)

Missing 

Course year Answer: |__|

Distinct5
Distinct (%)3.6%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean3.366906475
Minimum2
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:40.761103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median4
Q34
95-th percentile5
Maximum6
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084434568
Coefficient of variation (CV)0.3220863353
Kurtosis-0.86069572
Mean3.366906475
Median Absolute Deviation (MAD)1
Skewness0.1585457256
Sum468
Variance1.175998332
MonotonicityNot monotonic
2025-03-05T09:49:41.010110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 53
32.7%
2 41
25.3%
3 27
16.7%
5 15
 
9.3%
6 3
 
1.9%
(Missing) 23
14.2%
ValueCountFrequency (%)
2 41
25.3%
3 27
16.7%
4 53
32.7%
5 15
 
9.3%
6 3
 
1.9%
ValueCountFrequency (%)
6 3
 
1.9%
5 15
 
9.3%
4 53
32.7%
3 27
16.7%
2 41
25.3%

A11NUM
Real number (ℝ)

Missing 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Distinct9
Distinct (%)6.5%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean4.978417266
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:41.253500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.811667604
Coefficient of variation (CV)0.3639043308
Kurtosis1.313333117
Mean4.978417266
Median Absolute Deviation (MAD)0
Skewness0.1438349336
Sum692
Variance3.282139506
MonotonicityNot monotonic
2025-03-05T09:49:41.500113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 79
48.8%
4 20
 
12.3%
9 11
 
6.8%
1 11
 
6.8%
6 7
 
4.3%
8 5
 
3.1%
3 3
 
1.9%
7 2
 
1.2%
2 1
 
0.6%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
1 11
 
6.8%
2 1
 
0.6%
3 3
 
1.9%
4 20
 
12.3%
5 79
48.8%
ValueCountFrequency (%)
9 11
 
6.8%
8 5
 
3.1%
7 2
 
1.2%
6 7
 
4.3%
5 79
48.8%

A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? Answer: 1.University students’ Residence (dormitory), 2.University flat, 3.University campus, 4.A private sector Hall of Residence, 5.Rental house/flat, 6.In a house/apartment owned (by you, your parents, or relatives), 7.Guest of a private person, 8.Guest of friend or friends

Distinct7
Distinct (%)5.0%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean5.467625899
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:41.744868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.490560435
Coefficient of variation (CV)0.2726156585
Kurtosis4.164080458
Mean5.467625899
Median Absolute Deviation (MAD)0
Skewness-2.107604661
Sum760
Variance2.22177041
MonotonicityNot monotonic
2025-03-05T09:49:41.981383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 93
57.4%
5 20
 
12.3%
1 11
 
6.8%
7 7
 
4.3%
4 4
 
2.5%
8 3
 
1.9%
2 1
 
0.6%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
1 11
 
6.8%
2 1
 
0.6%
4 4
 
2.5%
5 20
 
12.3%
6 93
57.4%
ValueCountFrequency (%)
8 3
 
1.9%
7 7
 
4.3%
6 93
57.4%
5 20
 
12.3%
4 4
 
2.5%

R03
Real number (ℝ)

Missing  Zeros 

nan

Distinct11
Distinct (%)8.0%
Missing24
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean2.065217391
Minimum0
Maximum30
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:42.217285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.357541944
Coefficient of variation (CV)1.625757152
Kurtosis39.95778983
Mean2.065217391
Median Absolute Deviation (MAD)1
Skewness5.489090971
Sum285
Variance11.27308791
MonotonicityNot monotonic
2025-03-05T09:49:42.452396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 40
24.7%
1 35
21.6%
2 27
16.7%
3 13
 
8.0%
4 8
 
4.9%
5 7
 
4.3%
6 3
 
1.9%
7 2
 
1.2%
8 1
 
0.6%
20 1
 
0.6%
(Missing) 24
14.8%
ValueCountFrequency (%)
0 40
24.7%
1 35
21.6%
2 27
16.7%
3 13
 
8.0%
4 8
 
4.9%
ValueCountFrequency (%)
30 1
 
0.6%
20 1
 
0.6%
8 1
 
0.6%
7 2
1.2%
6 3
1.9%

B01_1
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 1.Am the life of the party,

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean2.014705882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:42.686233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.108788422
Coefficient of variation (CV)0.5503475379
Kurtosis-0.4193438696
Mean2.014705882
Median Absolute Deviation (MAD)1
Skewness0.8310023015
Sum274
Variance1.229411765
MonotonicityNot monotonic
2025-03-05T09:49:42.945749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 58
35.8%
2 40
24.7%
4 18
 
11.1%
3 18
 
11.1%
5 2
 
1.2%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 58
35.8%
2 40
24.7%
3 18
 
11.1%
4 18
 
11.1%
5 2
 
1.2%
ValueCountFrequency (%)
5 2
 
1.2%
4 18
 
11.1%
3 18
 
11.1%
2 40
24.7%
1 58
35.8%

B01_2
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 2.Sympathize with others’ feelings

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.044117647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:43.194263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7390448997
Coefficient of variation (CV)0.1827456479
Kurtosis2.521972217
Mean4.044117647
Median Absolute Deviation (MAD)0
Skewness-1.075959586
Sum550
Variance0.5461873638
MonotonicityNot monotonic
2025-03-05T09:49:43.652371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 85
52.5%
5 32
 
19.8%
3 13
 
8.0%
2 5
 
3.1%
1 1
 
0.6%
(Missing) 26
 
16.0%
ValueCountFrequency (%)
1 1
 
0.6%
2 5
 
3.1%
3 13
 
8.0%
4 85
52.5%
5 32
 
19.8%
ValueCountFrequency (%)
5 32
 
19.8%
4 85
52.5%
3 13
 
8.0%
2 5
 
3.1%
1 1
 
0.6%

B01_3
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 3.Get chores done right away

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.367647059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:43.911448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9569149777
Coefficient of variation (CV)0.2841494257
Kurtosis-0.03902687463
Mean3.367647059
Median Absolute Deviation (MAD)1
Skewness-0.2840038114
Sum458
Variance0.9156862745
MonotonicityNot monotonic
2025-03-05T09:49:44.161720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 54
33.3%
4 46
28.4%
2 16
 
9.9%
5 15
 
9.3%
1 5
 
3.1%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 5
 
3.1%
2 16
 
9.9%
3 54
33.3%
4 46
28.4%
5 15
 
9.3%
ValueCountFrequency (%)
5 15
 
9.3%
4 46
28.4%
3 54
33.3%
2 16
 
9.9%
1 5
 
3.1%

B01_4
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 4.Have frequent mood swings

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.220588235
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:44.409164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.196854993
Coefficient of variation (CV)0.3716262078
Kurtosis-0.9760977279
Mean3.220588235
Median Absolute Deviation (MAD)1
Skewness-0.01505563228
Sum438
Variance1.432461874
MonotonicityNot monotonic
2025-03-05T09:49:44.666516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 38
23.5%
2 33
20.4%
4 31
19.1%
5 25
15.4%
1 9
 
5.6%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 9
 
5.6%
2 33
20.4%
3 38
23.5%
4 31
19.1%
5 25
15.4%
ValueCountFrequency (%)
5 25
15.4%
4 31
19.1%
3 38
23.5%
2 33
20.4%
1 9
 
5.6%

B01_5
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 5.Have a vivid imagination

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.051470588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:44.919536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9052918739
Coefficient of variation (CV)0.223447722
Kurtosis0.170930043
Mean4.051470588
Median Absolute Deviation (MAD)1
Skewness-0.7711414817
Sum551
Variance0.8195533769
MonotonicityNot monotonic
2025-03-05T09:49:45.171274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 54
33.3%
5 49
30.2%
3 25
15.4%
2 7
 
4.3%
1 1
 
0.6%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 1
 
0.6%
2 7
 
4.3%
3 25
15.4%
4 54
33.3%
5 49
30.2%
ValueCountFrequency (%)
5 49
30.2%
4 54
33.3%
3 25
15.4%
2 7
 
4.3%
1 1
 
0.6%

B01_6
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 6.Don’t talk a lot

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.352941176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:45.443269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3.5
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.202031686
Coefficient of variation (CV)0.3585006783
Kurtosis-0.7300277523
Mean3.352941176
Median Absolute Deviation (MAD)0.5
Skewness-0.3744807532
Sum456
Variance1.444880174
MonotonicityNot monotonic
2025-03-05T09:49:45.699623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 43
26.5%
3 35
21.6%
5 25
15.4%
2 21
13.0%
1 12
 
7.4%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 12
 
7.4%
2 21
13.0%
3 35
21.6%
4 43
26.5%
5 25
15.4%
ValueCountFrequency (%)
5 25
15.4%
4 43
26.5%
3 35
21.6%
2 21
13.0%
1 12
 
7.4%

B01_7
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 7.Am not interested in other people’s problems

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.816176471
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:45.956377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9285768153
Coefficient of variation (CV)0.2433264873
Kurtosis-0.4708222888
Mean3.816176471
Median Absolute Deviation (MAD)1
Skewness-0.3564441526
Sum519
Variance0.862254902
MonotonicityNot monotonic
2025-03-05T09:49:46.207281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 50
30.9%
3 40
24.7%
5 36
22.2%
2 9
 
5.6%
1 1
 
0.6%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 1
 
0.6%
2 9
 
5.6%
3 40
24.7%
4 50
30.9%
5 36
22.2%
ValueCountFrequency (%)
5 36
22.2%
4 50
30.9%
3 40
24.7%
2 9
 
5.6%
1 1
 
0.6%

B01_8
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 8.Often forget to put things back in their proper place

Distinct5
Distinct (%)3.7%
Missing27
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean2.288888889
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:46.461816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071103955
Coefficient of variation (CV)0.4679580384
Kurtosis-0.5558307652
Mean2.288888889
Median Absolute Deviation (MAD)1
Skewness0.5086125808
Sum309
Variance1.147263682
MonotonicityNot monotonic
2025-03-05T09:49:46.719320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 48
29.6%
1 36
22.2%
3 30
18.5%
4 18
 
11.1%
5 3
 
1.9%
(Missing) 27
16.7%
ValueCountFrequency (%)
1 36
22.2%
2 48
29.6%
3 30
18.5%
4 18
 
11.1%
5 3
 
1.9%
ValueCountFrequency (%)
5 3
 
1.9%
4 18
 
11.1%
3 30
18.5%
2 48
29.6%
1 36
22.2%

B01_9
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 9.Am relaxed most of the time

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.654411765
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:46.975871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.084426296
Coefficient of variation (CV)0.2967444191
Kurtosis-0.5389173244
Mean3.654411765
Median Absolute Deviation (MAD)1
Skewness-0.4762910348
Sum497
Variance1.175980392
MonotonicityNot monotonic
2025-03-05T09:49:47.232617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 47
29.0%
5 34
21.0%
3 33
20.4%
2 18
 
11.1%
1 4
 
2.5%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 4
 
2.5%
2 18
 
11.1%
3 33
20.4%
4 47
29.0%
5 34
21.0%
ValueCountFrequency (%)
5 34
21.0%
4 47
29.0%
3 33
20.4%
2 18
 
11.1%
1 4
 
2.5%

B01_10
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 10.Am not interested in abstract ideas

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean2.580882353
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:47.478789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2.5
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.036769534
Coefficient of variation (CV)0.4017112726
Kurtosis-0.466654545
Mean2.580882353
Median Absolute Deviation (MAD)0.5
Skewness0.3067286066
Sum351
Variance1.074891068
MonotonicityNot monotonic
2025-03-05T09:49:47.734255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 48
29.6%
3 42
25.9%
4 21
13.0%
1 20
12.3%
5 5
 
3.1%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 20
12.3%
2 48
29.6%
3 42
25.9%
4 21
13.0%
5 5
 
3.1%
ValueCountFrequency (%)
5 5
 
3.1%
4 21
13.0%
3 42
25.9%
2 48
29.6%
1 20
12.3%

B01_11
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 11.Talk to a lot of different people at parties

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean2.544117647
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:47.982851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.179250528
Coefficient of variation (CV)0.4635204388
Kurtosis-0.789695664
Mean2.544117647
Median Absolute Deviation (MAD)1
Skewness0.374274671
Sum346
Variance1.390631808
MonotonicityNot monotonic
2025-03-05T09:49:48.231024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 44
27.2%
3 31
19.1%
1 29
17.9%
4 24
14.8%
5 8
 
4.9%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 29
17.9%
2 44
27.2%
3 31
19.1%
4 24
14.8%
5 8
 
4.9%
ValueCountFrequency (%)
5 8
 
4.9%
4 24
14.8%
3 31
19.1%
2 44
27.2%
1 29
17.9%

B01_12
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 12.Feel others’ emotions,

Distinct4
Distinct (%)2.9%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:48.466797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7698003589
Coefficient of variation (CV)0.1924500897
Kurtosis0.0195053866
Mean4
Median Absolute Deviation (MAD)0
Skewness-0.4944100253
Sum544
Variance0.5925925926
MonotonicityNot monotonic
2025-03-05T09:49:48.708581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 71
43.8%
5 35
21.6%
3 25
 
15.4%
2 5
 
3.1%
(Missing) 26
 
16.0%
ValueCountFrequency (%)
2 5
 
3.1%
3 25
 
15.4%
4 71
43.8%
5 35
21.6%
ValueCountFrequency (%)
5 35
21.6%
4 71
43.8%
3 25
 
15.4%
2 5
 
3.1%

B01_13
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 13.Like order

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean4.264705882
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:48.948281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8095293019
Coefficient of variation (CV)0.1898206639
Kurtosis1.468069295
Mean4.264705882
Median Absolute Deviation (MAD)1
Skewness-1.116376245
Sum580
Variance0.6553376906
MonotonicityNot monotonic
2025-03-05T09:49:49.209862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 61
37.7%
4 55
34.0%
3 16
 
9.9%
2 3
 
1.9%
1 1
 
0.6%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 1
 
0.6%
2 3
 
1.9%
3 16
 
9.9%
4 55
34.0%
5 61
37.7%
ValueCountFrequency (%)
5 61
37.7%
4 55
34.0%
3 16
 
9.9%
2 3
 
1.9%
1 1
 
0.6%

B01_14
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 14.Get upset easily

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean3.897058824
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:49.471599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.056054234
Coefficient of variation (CV)0.2709875015
Kurtosis-0.6119548449
Mean3.897058824
Median Absolute Deviation (MAD)1
Skewness-0.5576119982
Sum530
Variance1.115250545
MonotonicityNot monotonic
2025-03-05T09:49:49.721941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 51
31.5%
4 36
22.2%
3 35
21.6%
2 12
 
7.4%
1 2
 
1.2%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 2
 
1.2%
2 12
 
7.4%
3 35
21.6%
4 36
22.2%
5 51
31.5%
ValueCountFrequency (%)
5 51
31.5%
4 36
22.2%
3 35
21.6%
2 12
 
7.4%
1 2
 
1.2%

B01_15
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 15.Have difficulty understanding abstract ideas

Distinct5
Distinct (%)3.7%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean2.647058824
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:49.974009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.25
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.014921356
Coefficient of variation (CV)0.3834147346
Kurtosis-0.1610654971
Mean2.647058824
Median Absolute Deviation (MAD)1
Skewness0.3683203589
Sum360
Variance1.030065359
MonotonicityNot monotonic
2025-03-05T09:49:50.224286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 49
30.2%
2 47
29.0%
4 17
 
10.5%
1 16
 
9.9%
5 7
 
4.3%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 16
 
9.9%
2 47
29.0%
3 49
30.2%
4 17
 
10.5%
5 7
 
4.3%
ValueCountFrequency (%)
5 7
 
4.3%
4 17
 
10.5%
3 49
30.2%
2 47
29.0%
1 16
 
9.9%

B01_16
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 16.Keep in the background

Distinct5
Distinct (%)3.7%
Missing27
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean3.377777778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:50.472073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.16456812
Coefficient of variation (CV)0.3447734565
Kurtosis-0.7439858774
Mean3.377777778
Median Absolute Deviation (MAD)1
Skewness-0.3464800136
Sum456
Variance1.356218905
MonotonicityNot monotonic
2025-03-05T09:49:50.728449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 45
27.8%
3 33
20.4%
2 24
14.8%
5 24
14.8%
1 9
 
5.6%
(Missing) 27
16.7%
ValueCountFrequency (%)
1 9
 
5.6%
2 24
14.8%
3 33
20.4%
4 45
27.8%
5 24
14.8%
ValueCountFrequency (%)
5 24
14.8%
4 45
27.8%
3 33
20.4%
2 24
14.8%
1 9
 
5.6%

B01_17
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 17.Am not really interested in others

Distinct5
Distinct (%)3.7%
Missing27
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean2.066666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:50.982705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.986475711
Coefficient of variation (CV)0.4773269569
Kurtosis0.3541461718
Mean2.066666667
Median Absolute Deviation (MAD)1
Skewness0.7171111216
Sum279
Variance0.9731343284
MonotonicityNot monotonic
2025-03-05T09:49:51.232882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 47
29.0%
2 42
25.9%
3 40
24.7%
5 4
 
2.5%
4 2
 
1.2%
(Missing) 27
16.7%
ValueCountFrequency (%)
1 47
29.0%
2 42
25.9%
3 40
24.7%
4 2
 
1.2%
5 4
 
2.5%
ValueCountFrequency (%)
5 4
 
2.5%
4 2
 
1.2%
3 40
24.7%
2 42
25.9%
1 47
29.0%

B01_18
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 18.Make a mess of things

Distinct4
Distinct (%)2.9%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean1.794117647
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:51.477301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9036358416
Coefficient of variation (CV)0.5036658789
Kurtosis-0.08016678157
Mean1.794117647
Median Absolute Deviation (MAD)1
Skewness0.9095820049
Sum244
Variance0.8165577342
MonotonicityNot monotonic
2025-03-05T09:49:51.711601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 64
39.5%
2 44
27.2%
3 20
 
12.3%
4 8
 
4.9%
(Missing) 26
16.0%
ValueCountFrequency (%)
1 64
39.5%
2 44
27.2%
3 20
 
12.3%
4 8
 
4.9%
ValueCountFrequency (%)
4 8
 
4.9%
3 20
 
12.3%
2 44
27.2%
1 64
39.5%

B01_19
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 19.Seldom feel blue

Distinct5
Distinct (%)3.8%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.887218045
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:51.948578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9507105424
Coefficient of variation (CV)0.2445735051
Kurtosis1.224272992
Mean3.887218045
Median Absolute Deviation (MAD)0
Skewness-1.060147458
Sum517
Variance0.9038505354
MonotonicityNot monotonic
2025-03-05T09:49:52.206080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 68
42.0%
5 33
20.4%
3 20
 
12.3%
2 8
 
4.9%
1 4
 
2.5%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 4
 
2.5%
2 8
 
4.9%
3 20
 
12.3%
4 68
42.0%
5 33
20.4%
ValueCountFrequency (%)
5 33
20.4%
4 68
42.0%
3 20
 
12.3%
2 8
 
4.9%
1 4
 
2.5%

B01_20
Real number (ℝ)

Missing 

Describe yourself as you generally are now. Use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate Answer: 20.Do not have a good imagination

Distinct5
Distinct (%)3.7%
Missing27
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean1.940740741
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:52.459142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.878966175
Coefficient of variation (CV)0.4529024184
Kurtosis0.1885885354
Mean1.940740741
Median Absolute Deviation (MAD)1
Skewness0.7187323415
Sum262
Variance0.7725815368
MonotonicityNot monotonic
2025-03-05T09:49:52.717523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 54
33.3%
1 48
29.6%
3 27
16.7%
4 5
 
3.1%
5 1
 
0.6%
(Missing) 27
16.7%
ValueCountFrequency (%)
1 48
29.6%
2 54
33.3%
3 27
16.7%
4 5
 
3.1%
5 1
 
0.6%
ValueCountFrequency (%)
5 1
 
0.6%
4 5
 
3.1%
3 27
16.7%
2 54
33.3%
1 48
29.6%

G02_1
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Theatre plays

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.203007519
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:52.968395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.358248641
Coefficient of variation (CV)0.6165428985
Kurtosis0.634006914
Mean2.203007519
Median Absolute Deviation (MAD)1
Skewness1.189675803
Sum293
Variance1.844839371
MonotonicityNot monotonic
2025-03-05T09:49:53.202638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 51
31.5%
2 43
26.5%
3 17
 
10.5%
5 9
 
5.6%
4 9
 
5.6%
6 4
 
2.5%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 51
31.5%
2 43
26.5%
3 17
 
10.5%
4 9
 
5.6%
5 9
 
5.6%
ValueCountFrequency (%)
6 4
 
2.5%
5 9
 
5.6%
4 9
 
5.6%
3 17
 
10.5%
2 43
26.5%

G02_2
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Cabarets, or a stand-up comedy.

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.92481203
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:53.442440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72602214
Coefficient of variation (CV)0.5901309629
Kurtosis-1.035293369
Mean2.92481203
Median Absolute Deviation (MAD)1
Skewness0.5396157805
Sum389
Variance2.979152427
MonotonicityNot monotonic
2025-03-05T09:49:53.730134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 36
22.2%
1 34
21.0%
6 17
10.5%
4 17
10.5%
3 16
9.9%
5 13
 
8.0%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 34
21.0%
2 36
22.2%
3 16
9.9%
4 17
10.5%
5 13
 
8.0%
ValueCountFrequency (%)
6 17
10.5%
5 13
 
8.0%
4 17
10.5%
3 16
9.9%
2 36
22.2%

G02_3
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Ballets or a modern dance

Distinct6
Distinct (%)4.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.53030303
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:54.013069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.530550936
Coefficient of variation (CV)0.6048883938
Kurtosis-0.515583469
Mean2.53030303
Median Absolute Deviation (MAD)1
Skewness0.7395487049
Sum334
Variance2.342586167
MonotonicityNot monotonic
2025-03-05T09:49:54.280777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
28.4%
2 29
17.9%
3 23
14.2%
4 16
 
9.9%
5 11
 
6.8%
6 7
 
4.3%
(Missing) 30
18.5%
ValueCountFrequency (%)
1 46
28.4%
2 29
17.9%
3 23
14.2%
4 16
 
9.9%
5 11
 
6.8%
ValueCountFrequency (%)
6 7
 
4.3%
5 11
 
6.8%
4 16
9.9%
3 23
14.2%
2 29
17.9%

G02_4
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Classical music

Distinct6
Distinct (%)4.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.621212121
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:54.529754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.575239243
Coefficient of variation (CV)0.6009583239
Kurtosis-0.6149950773
Mean2.621212121
Median Absolute Deviation (MAD)1
Skewness0.6832598747
Sum346
Variance2.481378672
MonotonicityNot monotonic
2025-03-05T09:49:54.847002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 44
27.2%
2 27
16.7%
3 25
15.4%
4 16
 
9.9%
5 11
 
6.8%
6 9
 
5.6%
(Missing) 30
18.5%
ValueCountFrequency (%)
1 44
27.2%
2 27
16.7%
3 25
15.4%
4 16
 
9.9%
5 11
 
6.8%
ValueCountFrequency (%)
6 9
 
5.6%
5 11
6.8%
4 16
9.9%
3 25
15.4%
2 27
16.7%

G02_5
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Opera

Distinct5
Distinct (%)3.8%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.533834586
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:55.154887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9091193889
Coefficient of variation (CV)0.5927101898
Kurtosis8.035311543
Mean1.533834586
Median Absolute Deviation (MAD)0
Skewness2.477659345
Sum204
Variance0.8264980633
MonotonicityNot monotonic
2025-03-05T09:49:55.423908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 85
52.5%
2 34
 
21.0%
3 9
 
5.6%
4 3
 
1.9%
6 2
 
1.2%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 85
52.5%
2 34
 
21.0%
3 9
 
5.6%
4 3
 
1.9%
6 2
 
1.2%
ValueCountFrequency (%)
6 2
 
1.2%
4 3
 
1.9%
3 9
 
5.6%
2 34
 
21.0%
1 85
52.5%

G02_6
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Musical

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.759398496
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:55.673196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.149112806
Coefficient of variation (CV)0.6531282189
Kurtosis2.740794453
Mean1.759398496
Median Absolute Deviation (MAD)0
Skewness1.731876944
Sum234
Variance1.320460242
MonotonicityNot monotonic
2025-03-05T09:49:55.925570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 78
48.1%
2 28
 
17.3%
3 16
 
9.9%
4 5
 
3.1%
5 4
 
2.5%
6 2
 
1.2%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 78
48.1%
2 28
 
17.3%
3 16
 
9.9%
4 5
 
3.1%
5 4
 
2.5%
ValueCountFrequency (%)
6 2
 
1.2%
5 4
 
2.5%
4 5
 
3.1%
3 16
9.9%
2 28
17.3%

G02_7
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Pop or rock

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.436090226
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:56.166153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.831348995
Coefficient of variation (CV)0.532974653
Kurtosis-1.358655064
Mean3.436090226
Median Absolute Deviation (MAD)2
Skewness0.06234930144
Sum457
Variance3.353839143
MonotonicityNot monotonic
2025-03-05T09:49:56.421873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
18.5%
6 28
17.3%
3 24
14.8%
4 20
12.3%
2 16
9.9%
5 15
9.3%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 30
18.5%
2 16
9.9%
3 24
14.8%
4 20
12.3%
5 15
9.3%
ValueCountFrequency (%)
6 28
17.3%
5 15
9.3%
4 20
12.3%
3 24
14.8%
2 16
9.9%

G02_8
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Jazz or blue

Distinct6
Distinct (%)4.6%
Missing31
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean2.160305344
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:56.957133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.538314732
Coefficient of variation (CV)0.7120820843
Kurtosis0.03921609473
Mean2.160305344
Median Absolute Deviation (MAD)0
Skewness1.116954297
Sum283
Variance2.366412214
MonotonicityNot monotonic
2025-03-05T09:49:57.225247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 70
43.2%
2 18
 
11.1%
3 16
 
9.9%
4 12
 
7.4%
5 9
 
5.6%
6 6
 
3.7%
(Missing) 31
19.1%
ValueCountFrequency (%)
1 70
43.2%
2 18
 
11.1%
3 16
 
9.9%
4 12
 
7.4%
5 9
 
5.6%
ValueCountFrequency (%)
6 6
 
3.7%
5 9
5.6%
4 12
7.4%
3 16
9.9%
2 18
11.1%

G02_9
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Folk music concert

Distinct6
Distinct (%)4.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.439393939
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:57.488254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.489185318
Coefficient of variation (CV)0.6104734845
Kurtosis-0.2758738281
Mean2.439393939
Median Absolute Deviation (MAD)1
Skewness0.8586506171
Sum322
Variance2.217672912
MonotonicityNot monotonic
2025-03-05T09:49:57.751821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 47
29.0%
2 33
20.4%
3 22
13.6%
4 13
 
8.0%
5 11
 
6.8%
6 6
 
3.7%
(Missing) 30
18.5%
ValueCountFrequency (%)
1 47
29.0%
2 33
20.4%
3 22
13.6%
4 13
 
8.0%
5 11
 
6.8%
ValueCountFrequency (%)
6 6
 
3.7%
5 11
 
6.8%
4 13
 
8.0%
3 22
13.6%
2 33
20.4%

G02_10
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: World music

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.458646617
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:58.008453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.81955405
Coefficient of variation (CV)0.5260884537
Kurtosis-1.363450538
Mean3.458646617
Median Absolute Deviation (MAD)2
Skewness0.006194220174
Sum460
Variance3.310776942
MonotonicityNot monotonic
2025-03-05T09:49:58.268760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 30
18.5%
6 26
16.0%
3 23
14.2%
4 20
12.3%
5 19
11.7%
2 15
9.3%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 30
18.5%
2 15
9.3%
3 23
14.2%
4 20
12.3%
5 19
11.7%
ValueCountFrequency (%)
6 26
16.0%
5 19
11.7%
4 20
12.3%
3 23
14.2%
2 15
9.3%

G02_11
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Urban (rap, hip-hop, trap)

Distinct6
Distinct (%)4.6%
Missing31
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean3.694656489
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:58.542929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.784088346
Coefficient of variation (CV)0.482883416
Kurtosis-1.320359131
Mean3.694656489
Median Absolute Deviation (MAD)2
Skewness-0.1309971591
Sum484
Variance3.182971227
MonotonicityNot monotonic
2025-03-05T09:49:58.820925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 30
18.5%
3 26
16.0%
1 22
13.6%
5 22
13.6%
4 16
9.9%
2 15
9.3%
(Missing) 31
19.1%
ValueCountFrequency (%)
1 22
13.6%
2 15
9.3%
3 26
16.0%
4 16
9.9%
5 22
13.6%
ValueCountFrequency (%)
6 30
18.5%
5 22
13.6%
4 16
9.9%
3 26
16.0%
2 15
9.3%

G02_12
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Dance or house

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.353383459
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:59.098263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.538375219
Coefficient of variation (CV)0.6536865946
Kurtosis-0.05039622917
Mean2.353383459
Median Absolute Deviation (MAD)1
Skewness1.022396596
Sum313
Variance2.366598314
MonotonicityNot monotonic
2025-03-05T09:49:59.410602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 53
32.7%
2 35
21.6%
3 15
 
9.3%
4 13
 
8.0%
5 9
 
5.6%
6 8
 
4.9%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 53
32.7%
2 35
21.6%
3 15
 
9.3%
4 13
 
8.0%
5 9
 
5.6%
ValueCountFrequency (%)
6 8
 
4.9%
5 9
 
5.6%
4 13
 
8.0%
3 15
9.3%
2 35
21.6%

G02_13
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Popular national or local music

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean2.398496241
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:49:59.679004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.429875231
Coefficient of variation (CV)0.5961548769
Kurtosis-0.2021950491
Mean2.398496241
Median Absolute Deviation (MAD)1
Skewness0.862807009
Sum319
Variance2.044543176
MonotonicityNot monotonic
2025-03-05T09:49:59.980969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 46
28.4%
2 38
23.5%
4 19
11.7%
3 17
 
10.5%
5 8
 
4.9%
6 5
 
3.1%
(Missing) 29
17.9%
ValueCountFrequency (%)
1 46
28.4%
2 38
23.5%
3 17
 
10.5%
4 19
11.7%
5 8
 
4.9%
ValueCountFrequency (%)
6 5
 
3.1%
5 8
 
4.9%
4 19
11.7%
3 17
10.5%
2 38
23.5%

G02_14
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A singer/songwriter

Distinct6
Distinct (%)4.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.834586466
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:00.244403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.244262293
Coefficient of variation (CV)0.6782249383
Kurtosis2.571955601
Mean1.834586466
Median Absolute Deviation (MAD)0
Skewness1.708947431
Sum244
Variance1.548188653
MonotonicityNot monotonic
2025-03-05T09:50:00.542484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 76
46.9%
2 27
 
16.7%
3 17
 
10.5%
4 6
 
3.7%
6 4
 
2.5%
5 3
 
1.9%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 76
46.9%
2 27
 
16.7%
3 17
 
10.5%
4 6
 
3.7%
5 3
 
1.9%
ValueCountFrequency (%)
6 4
 
2.5%
5 3
 
1.9%
4 6
 
3.7%
3 17
10.5%
2 27
16.7%

G02_15
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: Other music

Distinct6
Distinct (%)4.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.96969697
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:00.793459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.811495919
Coefficient of variation (CV)0.6099935238
Kurtosis-1.12568862
Mean2.96969697
Median Absolute Deviation (MAD)2
Skewness0.4760356561
Sum392
Variance3.281517465
MonotonicityNot monotonic
2025-03-05T09:50:01.054777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 40
24.7%
2 24
14.8%
6 22
13.6%
4 20
12.3%
3 19
11.7%
5 7
 
4.3%
(Missing) 30
18.5%
ValueCountFrequency (%)
1 40
24.7%
2 24
14.8%
3 19
11.7%
4 20
12.3%
5 7
 
4.3%
ValueCountFrequency (%)
6 22
13.6%
5 7
 
4.3%
4 20
12.3%
3 19
11.7%
2 24
14.8%

G02_16
Real number (ℝ)

Missing 

How often, did you following, view and/or listen to the recordings of: 1. Never, 2., 3., 4., 5., 6. Very often Answer: A sport event

Distinct6
Distinct (%)4.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean3.060606061
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:01.296534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.755069324
Coefficient of variation (CV)0.573438492
Kurtosis-1.273908366
Mean3.060606061
Median Absolute Deviation (MAD)2
Skewness0.3707763896
Sum404
Variance3.080268332
MonotonicityNot monotonic
2025-03-05T09:50:01.562855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 32
19.8%
1 32
19.8%
5 22
13.6%
3 18
11.1%
6 16
9.9%
4 12
 
7.4%
(Missing) 30
18.5%
ValueCountFrequency (%)
1 32
19.8%
2 32
19.8%
3 18
11.1%
4 12
 
7.4%
5 22
13.6%
ValueCountFrequency (%)
6 16
9.9%
5 22
13.6%
4 12
 
7.4%
3 18
11.1%
2 32
19.8%

G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Acted in a theatre play

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.962406015
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:01.812741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1909313314
Coefficient of variation (CV)0.09729450985
Kurtosis22.52165223
Mean1.962406015
Median Absolute Deviation (MAD)0
Skewness-4.917638666
Sum261
Variance0.0364547733
MonotonicityNot monotonic
2025-03-05T09:50:02.080531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 128
79.0%
1 5
 
3.1%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 5
 
3.1%
2 128
79.0%
ValueCountFrequency (%)
2 128
79.0%
1 5
 
3.1%

G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Directed a theatre play

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.962406015
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:02.331578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1909313314
Coefficient of variation (CV)0.09729450985
Kurtosis22.52165223
Mean1.962406015
Median Absolute Deviation (MAD)0
Skewness-4.917638666
Sum261
Variance0.0364547733
MonotonicityNot monotonic
2025-03-05T09:50:02.601164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 128
79.0%
1 5
 
3.1%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 5
 
3.1%
2 128
79.0%
ValueCountFrequency (%)
2 128
79.0%
1 5
 
3.1%

G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Performed as a stand-up comedian

Distinct2
Distinct (%)1.5%
Missing30
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.939393939
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:02.862364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2395152789
Coefficient of variation (CV)0.1235000657
Kurtosis12.06169138
Mean1.939393939
Median Absolute Deviation (MAD)0
Skewness-3.725472949
Sum256
Variance0.05736756882
MonotonicityNot monotonic
2025-03-05T09:50:03.138828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 124
76.5%
1 8
 
4.9%
(Missing) 30
 
18.5%
ValueCountFrequency (%)
1 8
 
4.9%
2 124
76.5%
ValueCountFrequency (%)
2 124
76.5%
1 8
 
4.9%

G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.879699248
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:03.405712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3265428179
Coefficient of variation (CV)0.1737207791
Kurtosis3.629029465
Mean1.879699248
Median Absolute Deviation (MAD)0
Skewness-2.361075866
Sum250
Variance0.1066302119
MonotonicityNot monotonic
2025-03-05T09:50:03.664876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 117
72.2%
1 16
 
9.9%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 16
 
9.9%
2 117
72.2%
ValueCountFrequency (%)
2 117
72.2%
1 16
 
9.9%

G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.721804511
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:03.926823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4498043928
Coefficient of variation (CV)0.2612401059
Kurtosis-1.01289259
Mean1.721804511
Median Absolute Deviation (MAD)0
Skewness-1.001283417
Sum229
Variance0.2023239918
MonotonicityNot monotonic
2025-03-05T09:50:04.184521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 96
59.3%
1 37
 
22.8%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 37
 
22.8%
2 96
59.3%
ValueCountFrequency (%)
2 96
59.3%
1 37
 
22.8%

G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Played a musical instrument in an orchestra or pop/rock/jazz/folk band

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.92481203
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:04.423636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2646913626
Coefficient of variation (CV)0.1375154345
Kurtosis8.75164115
Mean1.92481203
Median Absolute Deviation (MAD)0
Skewness-3.258872565
Sum256
Variance0.07006151743
MonotonicityNot monotonic
2025-03-05T09:50:04.700217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 123
75.9%
1 10
 
6.2%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 10
 
6.2%
2 123
75.9%
ValueCountFrequency (%)
2 123
75.9%
1 10
 
6.2%

G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Composed music or performed as DJ

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.92481203
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:04.961595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2646913626
Coefficient of variation (CV)0.1375154345
Kurtosis8.75164115
Mean1.92481203
Median Absolute Deviation (MAD)0
Skewness-3.258872565
Sum256
Variance0.07006151743
MonotonicityNot monotonic
2025-03-05T09:50:05.218347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 123
75.9%
1 10
 
6.2%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 10
 
6.2%
2 123
75.9%
ValueCountFrequency (%)
2 123
75.9%
1 10
 
6.2%

G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance),

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.744360902
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:05.463994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.437869071
Coefficient of variation (CV)0.2510197691
Kurtosis-0.7270721794
Mean1.744360902
Median Absolute Deviation (MAD)0
Skewness-1.133177105
Sum232
Variance0.1917293233
MonotonicityNot monotonic
2025-03-05T09:50:05.710370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 99
61.1%
1 34
 
21.0%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 34
 
21.0%
2 99
61.1%
ValueCountFrequency (%)
2 99
61.1%
1 34
 
21.0%

G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? (1) YES (2) NO Answer: Did choreography for a dance performance

Distinct2
Distinct (%)1.5%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean1.954887218
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:05.942367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2083361813
Coefficient of variation (CV)0.1065719697
Kurtosis17.92552282
Mean1.954887218
Median Absolute Deviation (MAD)0
Skewness-4.433527178
Sum260
Variance0.04340396446
MonotonicityNot monotonic
2025-03-05T09:50:06.180343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 127
78.4%
1 6
 
3.7%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
1 6
 
3.7%
2 127
78.4%
ValueCountFrequency (%)
2 127
78.4%
1 6
 
3.7%

T01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.758064516
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:06.411551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4299927725
Coefficient of variation (CV)0.2445830449
Kurtosis-0.5202604733
Mean1.758064516
Median Absolute Deviation (MAD)0
Skewness-1.219997631
Sum218
Variance0.1848937844
MonotonicityNot monotonic
2025-03-05T09:50:06.644549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 94
58.0%
1 30
 
18.5%
(Missing) 38
23.5%
ValueCountFrequency (%)
1 30
 
18.5%
2 94
58.0%
ValueCountFrequency (%)
2 94
58.0%
1 30
 
18.5%

T01_2
Real number (ℝ)

Constant  Missing 

Do you have a motorbike driver’s license? Answer: 1. Yes, 2. No

Distinct1
Distinct (%)0.8%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:06.863711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum248
Variance0
MonotonicityIncreasing
2025-03-05T09:50:07.086667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 124
76.5%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
2 124
76.5%
ValueCountFrequency (%)
2 124
76.5%

T01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.822580645
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:07.309583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3835729989
Coefficient of variation (CV)0.2104559817
Kurtosis0.9374249681
Mean1.822580645
Median Absolute Deviation (MAD)0
Skewness-1.709551264
Sum226
Variance0.1471282455
MonotonicityNot monotonic
2025-03-05T09:50:07.543189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 102
63.0%
1 22
 
13.6%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
1 22
 
13.6%
2 102
63.0%
ValueCountFrequency (%)
2 102
63.0%
1 22
 
13.6%

T01_4
Real number (ℝ)

Missing 

Do you have a car of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.927419355
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:07.796677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2604994295
Coefficient of variation (CV)0.1351545157
Kurtosis9.273783647
Mean1.927419355
Median Absolute Deviation (MAD)0
Skewness-3.335333442
Sum239
Variance0.06785995279
MonotonicityNot monotonic
2025-03-05T09:50:08.049042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 115
71.0%
1 9
 
5.6%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
1 9
 
5.6%
2 115
71.0%
ValueCountFrequency (%)
2 115
71.0%
1 9
 
5.6%

T01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.991935484
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:08.282031image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08980265101
Coefficient of variation (CV)0.04508311225
Kurtosis124
Mean1.991935484
Median Absolute Deviation (MAD)0
Skewness-11.13552873
Sum247
Variance0.008064516129
MonotonicityNot monotonic
2025-03-05T09:50:08.531082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 123
75.9%
1 1
 
0.6%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
1 1
 
0.6%
2 123
75.9%
ValueCountFrequency (%)
2 123
75.9%
1 1
 
0.6%

T01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.709677419
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:08.772323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4557526349
Coefficient of variation (CV)0.2665722959
Kurtosis-1.144078982
Mean1.709677419
Median Absolute Deviation (MAD)0
Skewness-0.9352211607
Sum212
Variance0.2077104642
MonotonicityNot monotonic
2025-03-05T09:50:09.023999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 88
54.3%
1 36
22.2%
(Missing) 38
23.5%
ValueCountFrequency (%)
1 36
22.2%
2 88
54.3%
ValueCountFrequency (%)
2 88
54.3%
1 36
22.2%

T01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? Answer: 1. Yes, 2. No

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean1.959677419
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:09.252108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1975127267
Coefficient of variation (CV)0.1007883873
Kurtosis20.71596047
Mean1.959677419
Median Absolute Deviation (MAD)0
Skewness-4.730967189
Sum243
Variance0.03901127721
MonotonicityNot monotonic
2025-03-05T09:50:09.500994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 119
73.5%
1 5
 
3.1%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
1 5
 
3.1%
2 119
73.5%
ValueCountFrequency (%)
2 119
73.5%
1 5
 
3.1%

T02_1
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
True
89 
False
35 
(Missing)
38 
ValueCountFrequency (%)
True 89
54.9%
False 35
 
21.6%
(Missing) 38
23.5%
2025-03-05T09:50:09.740455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_2
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
119 
True
 
5
(Missing)
38 
ValueCountFrequency (%)
False 119
73.5%
True 5
 
3.1%
(Missing) 38
 
23.5%
2025-03-05T09:50:09.953675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
93 
True
31 
(Missing)
38 
ValueCountFrequency (%)
False 93
57.4%
True 31
 
19.1%
(Missing) 38
23.5%
2025-03-05T09:50:10.163414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
110 
True
14 
(Missing)
38 
ValueCountFrequency (%)
False 110
67.9%
True 14
 
8.6%
(Missing) 38
 
23.5%
2025-03-05T09:50:10.368545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_5
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct1
Distinct (%)0.8%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
124 
(Missing)
38 
ValueCountFrequency (%)
False 124
76.5%
(Missing) 38
 
23.5%
2025-03-05T09:50:10.569023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
True
107 
False
17 
(Missing)
38 
ValueCountFrequency (%)
True 107
66.0%
False 17
 
10.5%
(Missing) 38
 
23.5%
2025-03-05T09:50:10.772513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_7
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)1.6%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
123 
True
 
1
(Missing)
38 
ValueCountFrequency (%)
False 123
75.9%
True 1
 
0.6%
(Missing) 38
 
23.5%
2025-03-05T09:50:10.997417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

T02_8
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)0.8%
Missing38
Missing (%)23.5%
Memory size456.0 B
False
124 
(Missing)
38 
ValueCountFrequency (%)
False 124
76.5%
(Missing) 38
 
23.5%
2025-03-05T09:50:11.195033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C01
Real number (ℝ)

Missing 

Would you say you know how to cook? Answer: 1.Yes, I know how to cook., 2.Yes, but only basic things., 3.No, I do not know how to cook.

Distinct3
Distinct (%)2.4%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.37398374
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:11.392214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5340592155
Coefficient of variation (CV)0.3886939852
Kurtosis-0.03983498866
Mean1.37398374
Median Absolute Deviation (MAD)0
Skewness1.013382864
Sum169
Variance0.2852192456
MonotonicityNot monotonic
2025-03-05T09:50:11.651015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 80
49.4%
2 40
24.7%
3 3
 
1.9%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 80
49.4%
2 40
24.7%
3 3
 
1.9%
ValueCountFrequency (%)
3 3
 
1.9%
2 40
24.7%
1 80
49.4%

C04
Real number (ℝ)

Missing 

C04. How often do you cook a main meal? Answer: 1.Daily, 2Several times a week 3.Once a week 4.Less than once a week 5.Neve

Distinct5
Distinct (%)4.1%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.056910569
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:11.905440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.034652179
Coefficient of variation (CV)0.5030127194
Kurtosis0.4544926411
Mean2.056910569
Median Absolute Deviation (MAD)1
Skewness1.013160484
Sum253
Variance1.070505131
MonotonicityNot monotonic
2025-03-05T09:50:12.408296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 55
34.0%
1 40
24.7%
4 13
 
8.0%
3 12
 
7.4%
5 3
 
1.9%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 40
24.7%
2 55
34.0%
3 12
 
7.4%
4 13
 
8.0%
5 3
 
1.9%
ValueCountFrequency (%)
5 3
 
1.9%
4 13
 
8.0%
3 12
 
7.4%
2 55
34.0%
1 40
24.7%

C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I don’t follow a specific diet

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
True
89 
False
34 
(Missing)
39 
ValueCountFrequency (%)
True 89
54.9%
False 34
 
21.0%
(Missing) 39
24.1%
2025-03-05T09:50:12.659309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_2
Boolean

Constant  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I follow a vegetarian or vegan diet

Distinct1
Distinct (%)0.8%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
123 
(Missing)
39 
ValueCountFrequency (%)
False 123
75.9%
(Missing) 39
 
24.1%
2025-03-05T09:50:12.864222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_3
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
121 
True
 
2
(Missing)
39 
ValueCountFrequency (%)
False 121
74.7%
True 2
 
1.2%
(Missing) 39
 
24.1%
2025-03-05T09:50:13.065542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_4
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
108 
True
15 
(Missing)
39 
ValueCountFrequency (%)
False 108
66.7%
True 15
 
9.3%
(Missing) 39
 
24.1%
2025-03-05T09:50:13.281981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_5
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
113 
True
 
10
(Missing)
39 
ValueCountFrequency (%)
False 113
69.8%
True 10
 
6.2%
(Missing) 39
 
24.1%
2025-03-05T09:50:13.494328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
107 
True
16 
(Missing)
39 
ValueCountFrequency (%)
False 107
66.0%
True 16
 
9.9%
(Missing) 39
 
24.1%
2025-03-05T09:50:13.701754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice) Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)1.6%
Missing39
Missing (%)24.1%
Memory size456.0 B
False
69 
True
54 
(Missing)
39 
ValueCountFrequency (%)
False 69
42.6%
True 54
33.3%
(Missing) 39
24.1%
2025-03-05T09:50:13.922767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? Answer: 1.For me, eating is a pleasure, 2.Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)1.7%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean1.297520661
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:14.156503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4590684063
Coefficient of variation (CV)0.3538043131
Kurtosis-1.215842668
Mean1.297520661
Median Absolute Deviation (MAD)0
Skewness0.896957186
Sum157
Variance0.2107438017
MonotonicityNot monotonic
2025-03-05T09:50:14.396421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 85
52.5%
2 36
22.2%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 85
52.5%
2 36
22.2%
ValueCountFrequency (%)
2 36
22.2%
1 85
52.5%

C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Organic

Distinct4
Distinct (%)3.3%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.508333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:14.612107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8300636134
Coefficient of variation (CV)0.3309223708
Kurtosis-0.5242888649
Mean2.508333333
Median Absolute Deviation (MAD)1
Skewness0.1524137796
Sum301
Variance0.6890056022
MonotonicityNot monotonic
2025-03-05T09:50:14.846163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 52
32.1%
3 42
25.9%
4 15
 
9.3%
1 11
 
6.8%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 11
 
6.8%
2 52
32.1%
3 42
25.9%
4 15
 
9.3%
ValueCountFrequency (%)
4 15
 
9.3%
3 42
25.9%
2 52
32.1%
1 11
 
6.8%

C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Zero-mile

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.56557377
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:15.096828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8230933883
Coefficient of variation (CV)0.5257455151
Kurtosis0.8686811043
Mean1.56557377
Median Absolute Deviation (MAD)0
Skewness1.323532756
Sum191
Variance0.6774827259
MonotonicityNot monotonic
2025-03-05T09:50:15.352750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 75
46.3%
2 29
 
17.9%
3 14
 
8.6%
4 4
 
2.5%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 75
46.3%
2 29
 
17.9%
3 14
 
8.6%
4 4
 
2.5%
ValueCountFrequency (%)
4 4
 
2.5%
3 14
 
8.6%
2 29
 
17.9%
1 75
46.3%

C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.221311475
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:15.602552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5531621358
Coefficient of variation (CV)0.4529247018
Kurtosis7.596060877
Mean1.221311475
Median Absolute Deviation (MAD)0
Skewness2.734975083
Sum149
Variance0.3059883485
MonotonicityNot monotonic
2025-03-05T09:50:15.844531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 102
63.0%
2 14
 
8.6%
3 5
 
3.1%
4 1
 
0.6%
(Missing) 40
 
24.7%
ValueCountFrequency (%)
1 102
63.0%
2 14
 
8.6%
3 5
 
3.1%
4 1
 
0.6%
ValueCountFrequency (%)
4 1
 
0.6%
3 5
 
3.1%
2 14
 
8.6%
1 102
63.0%

C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Dietary supplements - vitamins, iron, potassium...

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.991803279
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:16.099019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9315046181
Coefficient of variation (CV)0.4676689852
Kurtosis-0.7390756745
Mean1.991803279
Median Absolute Deviation (MAD)1
Skewness0.5154193918
Sum243
Variance0.8677008535
MonotonicityNot monotonic
2025-03-05T09:50:16.345556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 45
27.8%
2 41
25.3%
3 28
17.3%
4 8
 
4.9%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 45
27.8%
2 41
25.3%
3 28
17.3%
4 8
 
4.9%
ValueCountFrequency (%)
4 8
 
4.9%
3 28
17.3%
2 41
25.3%
1 45
27.8%

C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Frozen items

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.663934426
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:16.588168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8192987905
Coefficient of variation (CV)0.4923864652
Kurtosis0.00401152653
Mean1.663934426
Median Absolute Deviation (MAD)0
Skewness0.970421416
Sum203
Variance0.6712505081
MonotonicityNot monotonic
2025-03-05T09:50:16.839718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 65
40.1%
2 36
22.2%
3 18
 
11.1%
4 3
 
1.9%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 65
40.1%
2 36
22.2%
3 18
 
11.1%
4 3
 
1.9%
ValueCountFrequency (%)
4 3
 
1.9%
3 18
 
11.1%
2 36
22.2%
1 65
40.1%

C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Allergen-free products - gluten free, lactose free

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.557377049
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:17.080076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7390990755
Coefficient of variation (CV)0.4745794064
Kurtosis0.08949518392
Mean1.557377049
Median Absolute Deviation (MAD)0
Skewness1.0478021
Sum190
Variance0.5462674434
MonotonicityNot monotonic
2025-03-05T09:50:17.332559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 71
43.8%
2 35
21.6%
3 15
 
9.3%
4 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 71
43.8%
2 35
21.6%
3 15
 
9.3%
4 1
 
0.6%
ValueCountFrequency (%)
4 1
 
0.6%
3 15
 
9.3%
2 35
21.6%
1 71
43.8%

C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: 1. Never, 2. Rarely, 3. Often, 4. Always Answer: Ready meals - to be just heated or defrosted in microwave/oven

Distinct4
Distinct (%)3.3%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.901639344
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:17.578782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8172705639
Coefficient of variation (CV)0.4297715896
Kurtosis-0.640845423
Mean1.901639344
Median Absolute Deviation (MAD)1
Skewness0.4612146042
Sum232
Variance0.6679311746
MonotonicityNot monotonic
2025-03-05T09:50:17.818020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 49
30.2%
1 44
27.2%
3 26
16.0%
4 3
 
1.9%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 44
27.2%
2 49
30.2%
3 26
16.0%
4 3
 
1.9%
ValueCountFrequency (%)
4 3
 
1.9%
3 26
16.0%
2 49
30.2%
1 44
27.2%

C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops)

Distinct5
Distinct (%)4.2%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.341666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:18.076153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.28662044
Coefficient of variation (CV)0.5494464513
Kurtosis-0.4523555922
Mean2.341666667
Median Absolute Deviation (MAD)1
Skewness0.7795928363
Sum281
Variance1.655392157
MonotonicityNot monotonic
2025-03-05T09:50:18.353478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 41
25.3%
1 37
22.8%
3 18
11.1%
5 12
 
7.4%
4 12
 
7.4%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 37
22.8%
2 41
25.3%
3 18
11.1%
4 12
 
7.4%
5 12
 
7.4%
ValueCountFrequency (%)
5 12
 
7.4%
4 12
 
7.4%
3 18
11.1%
2 41
25.3%
1 37
22.8%

C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Organic Shops

Distinct5
Distinct (%)4.1%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.082644628
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:18.634627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.281839673
Coefficient of variation (CV)0.6154865097
Kurtosis0.3362228177
Mean2.082644628
Median Absolute Deviation (MAD)1
Skewness1.195031345
Sum252
Variance1.643112948
MonotonicityNot monotonic
2025-03-05T09:50:18.917101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 50
30.9%
2 43
26.5%
5 12
 
7.4%
3 8
 
4.9%
4 8
 
4.9%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 50
30.9%
2 43
26.5%
3 8
 
4.9%
4 8
 
4.9%
5 12
 
7.4%
ValueCountFrequency (%)
5 12
 
7.4%
4 8
 
4.9%
3 8
 
4.9%
2 43
26.5%
1 50
30.9%

C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Supermarkets

Distinct5
Distinct (%)4.1%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.276422764
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:19.184541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9434920574
Coefficient of variation (CV)0.2879640771
Kurtosis-0.2750092984
Mean3.276422764
Median Absolute Deviation (MAD)1
Skewness-0.5224057566
Sum403
Variance0.8901772624
MonotonicityNot monotonic
2025-03-05T09:50:19.459880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 53
32.7%
3 38
23.5%
2 21
 
13.0%
5 6
 
3.7%
1 5
 
3.1%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 5
 
3.1%
2 21
 
13.0%
3 38
23.5%
4 53
32.7%
5 6
 
3.7%
ValueCountFrequency (%)
5 6
 
3.7%
4 53
32.7%
3 38
23.5%
2 21
 
13.0%
1 5
 
3.1%

C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Discount supermarket

Distinct5
Distinct (%)4.1%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.098360656
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:19.719938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.268889252
Coefficient of variation (CV)0.6047050344
Kurtosis0.1343117334
Mean2.098360656
Median Absolute Deviation (MAD)1
Skewness1.0709189
Sum256
Variance1.610079935
MonotonicityNot monotonic
2025-03-05T09:50:19.994564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 52
32.1%
2 35
21.6%
3 17
 
10.5%
5 11
 
6.8%
4 7
 
4.3%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 52
32.1%
2 35
21.6%
3 17
 
10.5%
4 7
 
4.3%
5 11
 
6.8%
ValueCountFrequency (%)
5 11
 
6.8%
4 7
 
4.3%
3 17
 
10.5%
2 35
21.6%
1 52
32.1%

C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops Answer: Street markets

Distinct5
Distinct (%)4.1%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.918032787
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:20.254035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.237099807
Coefficient of variation (CV)0.6449836601
Kurtosis1.094213745
Mean1.918032787
Median Absolute Deviation (MAD)0.5
Skewness1.436124139
Sum234
Variance1.530415933
MonotonicityNot monotonic
2025-03-05T09:50:20.531578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 61
37.7%
2 36
22.2%
5 11
 
6.8%
3 10
 
6.2%
4 4
 
2.5%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 61
37.7%
2 36
22.2%
3 10
 
6.2%
4 4
 
2.5%
5 11
 
6.8%
ValueCountFrequency (%)
5 11
 
6.8%
4 4
 
2.5%
3 10
 
6.2%
2 36
22.2%
1 61
37.7%

D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? Answer: 1. Yes 2. No

Distinct2
Distinct (%)1.7%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean1.603305785
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:20.806705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4912456759
Coefficient of variation (CV)0.3063954989
Kurtosis-1.84793467
Mean1.603305785
Median Absolute Deviation (MAD)0
Skewness-0.4276557412
Sum194
Variance0.241322314
MonotonicityNot monotonic
2025-03-05T09:50:21.061120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 73
45.1%
1 48
29.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 48
29.6%
2 73
45.1%
ValueCountFrequency (%)
2 73
45.1%
1 48
29.6%

D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? Answer: 1.Yes 2.No [If D01=No and D02=No go to F01]

Distinct2
Distinct (%)1.7%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean1.561983471
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:21.326150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4982061485
Coefficient of variation (CV)0.3189573755
Kurtosis-1.968808969
Mean1.561983471
Median Absolute Deviation (MAD)0
Skewness-0.2530085599
Sum189
Variance0.2482093664
MonotonicityNot monotonic
2025-03-05T09:50:21.584408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 68
42.0%
1 53
32.7%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 53
32.7%
2 68
42.0%
ValueCountFrequency (%)
2 68
42.0%
1 53
32.7%

D03_1
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping

Distinct4
Distinct (%)8.5%
Missing115
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean2.425531915
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:21.810522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.15616835
Coefficient of variation (CV)0.4766658988
Kurtosis-1.469696222
Mean2.425531915
Median Absolute Deviation (MAD)1
Skewness-0.03112536263
Sum114
Variance1.336725254
MonotonicityNot monotonic
2025-03-05T09:50:22.057075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 15
 
9.3%
3 15
 
9.3%
4 10
 
6.2%
2 7
 
4.3%
(Missing) 115
71.0%
ValueCountFrequency (%)
1 15
9.3%
2 7
4.3%
3 15
9.3%
4 10
6.2%
ValueCountFrequency (%)
4 10
6.2%
3 15
9.3%
2 7
4.3%
1 15
9.3%

D03_2
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.270833333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:22.295292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.066702681
Coefficient of variation (CV)0.4697406302
Kurtosis-1.329974718
Mean2.270833333
Median Absolute Deviation (MAD)1
Skewness0.0840436301
Sum109
Variance1.13785461
MonotonicityNot monotonic
2025-03-05T09:50:22.547163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 17
 
10.5%
1 16
 
9.9%
2 9
 
5.6%
4 6
 
3.7%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 16
9.9%
2 9
5.6%
3 17
10.5%
4 6
 
3.7%
ValueCountFrequency (%)
4 6
 
3.7%
3 17
10.5%
2 9
5.6%
1 16
9.9%

D03_3
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing

Distinct3
Distinct (%)6.5%
Missing116
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.065217391
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:22.800524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3267465149
Coefficient of variation (CV)0.3067416263
Kurtosis29.71007965
Mean1.065217391
Median Absolute Deviation (MAD)0
Skewness5.359295789
Sum49
Variance0.106763285
MonotonicityNot monotonic
2025-03-05T09:50:23.057990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 44
 
27.2%
2 1
 
0.6%
3 1
 
0.6%
(Missing) 116
71.6%
ValueCountFrequency (%)
1 44
27.2%
2 1
 
0.6%
3 1
 
0.6%
ValueCountFrequency (%)
3 1
 
0.6%
2 1
 
0.6%
1 44
27.2%

D03_4
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Weightlifting and resistance training including free weights, bench press, leg press, push ups, pull ups or sit ups

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.0625
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:23.301930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.060033119
Coefficient of variation (CV)0.5139554515
Kurtosis-1.17210267
Mean2.0625
Median Absolute Deviation (MAD)1
Skewness0.4303033833
Sum99
Variance1.123670213
MonotonicityNot monotonic
2025-03-05T09:50:23.534945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20
 
12.3%
3 13
 
8.0%
2 10
 
6.2%
4 5
 
3.1%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 20
12.3%
2 10
6.2%
3 13
8.0%
4 5
 
3.1%
ValueCountFrequency (%)
4 5
 
3.1%
3 13
8.0%
2 10
6.2%
1 20
12.3%

D03_5
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.020833333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:23.772828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.020837856
Coefficient of variation (CV)0.5051568774
Kurtosis-1.085682146
Mean2.020833333
Median Absolute Deviation (MAD)1
Skewness0.4578461487
Sum97
Variance1.042109929
MonotonicityNot monotonic
2025-03-05T09:50:24.017587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 20
 
12.3%
3 13
 
8.0%
2 11
 
6.8%
4 4
 
2.5%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 20
12.3%
2 11
6.8%
3 13
8.0%
4 4
 
2.5%
ValueCountFrequency (%)
4 4
 
2.5%
3 13
8.0%
2 11
6.8%
1 20
12.3%

D03_6
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Boxing and martial arts like judo, karate and taekwondo

Distinct3
Distinct (%)6.2%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean1.270833333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:24.251743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6098337176
Coefficient of variation (CV)0.4798691548
Kurtosis3.333017693
Mean1.270833333
Median Absolute Deviation (MAD)0
Skewness2.138433282
Sum61
Variance0.3718971631
MonotonicityNot monotonic
2025-03-05T09:50:24.508328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 39
 
24.1%
2 5
 
3.1%
3 4
 
2.5%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 39
24.1%
2 5
 
3.1%
3 4
 
2.5%
ValueCountFrequency (%)
3 4
 
2.5%
2 5
 
3.1%
1 39
24.1%

D03_7
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Racket sports such as tennis, ping pong, and squash

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean1.541666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:24.758787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8240618995
Coefficient of variation (CV)0.5345266375
Kurtosis0.5337346951
Mean1.541666667
Median Absolute Deviation (MAD)0
Skewness1.289680674
Sum74
Variance0.6790780142
MonotonicityNot monotonic
2025-03-05T09:50:24.995396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 31
 
19.1%
2 9
 
5.6%
3 7
 
4.3%
4 1
 
0.6%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 31
19.1%
2 9
 
5.6%
3 7
 
4.3%
4 1
 
0.6%
ValueCountFrequency (%)
4 1
 
0.6%
3 7
 
4.3%
2 9
 
5.6%
1 31
19.1%

D03_8
Real number (ℝ)

Missing 

During the last year or so, how often have you done the following types of sport activities? 1. Not at all; 2. Less than once a week; 3. At least once a week; 4. Almost daily. Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.125
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:25.229251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9592772102
Coefficient of variation (CV)0.4514245695
Kurtosis-0.8864062339
Mean2.125
Median Absolute Deviation (MAD)1
Skewness0.3442526556
Sum102
Variance0.920212766
MonotonicityNot monotonic
2025-03-05T09:50:25.470354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16
 
9.9%
1 15
 
9.3%
3 13
 
8.0%
4 4
 
2.5%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 15
9.3%
2 16
9.9%
3 13
8.0%
4 4
 
2.5%
ValueCountFrequency (%)
4 4
 
2.5%
3 13
8.0%
2 16
9.9%
1 15
9.3%

D04
Real number (ℝ)

Missing 

How often do you do physical exercise? Answer: 1.Every few weeks or less, 2.Once or twice a week, 3.Three to five days a week, 4.Six to seven days a week

Distinct4
Distinct (%)8.3%
Missing114
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean2.604166667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:25.712684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2.5
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7362811481
Coefficient of variation (CV)0.2827319609
Kurtosis-0.4946550565
Mean2.604166667
Median Absolute Deviation (MAD)0.5
Skewness0.4579724586
Sum125
Variance0.5421099291
MonotonicityNot monotonic
2025-03-05T09:50:25.953396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 23
 
14.2%
3 18
 
11.1%
4 6
 
3.7%
1 1
 
0.6%
(Missing) 114
70.4%
ValueCountFrequency (%)
1 1
 
0.6%
2 23
14.2%
3 18
11.1%
4 6
 
3.7%
ValueCountFrequency (%)
4 6
 
3.7%
3 18
11.1%
2 23
14.2%
1 1
 
0.6%

D06_1
Boolean

Constant  Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Wearable fitness trackers

Distinct1
Distinct (%)2.1%
Missing114
Missing (%)70.4%
Memory size456.0 B
False
48 
(Missing)
114 
ValueCountFrequency (%)
False 48
29.6%
(Missing) 114
70.4%
2025-03-05T09:50:26.167933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_2
Boolean

Imbalance  Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartwatches

Distinct2
Distinct (%)4.2%
Missing114
Missing (%)70.4%
Memory size456.0 B
False
43 
True
 
5
(Missing)
114 
ValueCountFrequency (%)
False 43
 
26.5%
True 5
 
3.1%
(Missing) 114
70.4%
2025-03-05T09:50:26.344251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_3
Boolean

Imbalance  Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Smartphone fitness apps

Distinct2
Distinct (%)4.2%
Missing114
Missing (%)70.4%
Memory size456.0 B
False
46 
True
 
2
(Missing)
114 
ValueCountFrequency (%)
False 46
28.4%
True 2
 
1.2%
(Missing) 114
70.4%
2025-03-05T09:50:26.779248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_4
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Headphones

Distinct2
Distinct (%)4.2%
Missing114
Missing (%)70.4%
Memory size456.0 B
False
29 
True
19 
(Missing)
114 
ValueCountFrequency (%)
False 29
 
17.9%
True 19
 
11.7%
(Missing) 114
70.4%
2025-03-05T09:50:26.971126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_5
Boolean

Missing 

When exercising, which of the following devices do you use? (Multiple choice)

Distinct2
Distinct (%)4.2%
Missing114
Missing (%)70.4%
Memory size456.0 B
True
28 
False
20 
(Missing)
114 
ValueCountFrequency (%)
True 28
 
17.3%
False 20
 
12.3%
(Missing) 114
70.4%
2025-03-05T09:50:27.163346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

D06_other
Text

Missing 

When exercising, which of the following devices do you use? (Multiple choice) Answer: Other, please specify: ______

Distinct5
Distinct (%)100.0%
Missing157
Missing (%)96.9%
Memory size1.6 KiB
2025-03-05T09:50:27.367299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length80
Median length14
Mean length25.2
Min length2

Characters and Unicode

Total characters126
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowtv
2nd rowдасгалын гудас
3rd rowСпортын хэрэглэгдэхүүн
4th rowyoutube бичлэг, хөнгөн пүүз, утасны дасгалын цаг бүртгэгч апп, алхаа тоолдог апп
5th rowSmart tv
ValueCountFrequency (%)
tv 2
 
10.5%
дасгалын 2
 
10.5%
апп 2
 
10.5%
гудас 1
 
5.3%
спортын 1
 
5.3%
хэрэглэгдэхүүн 1
 
5.3%
youtube 1
 
5.3%
бичлэг 1
 
5.3%
хөнгөн 1
 
5.3%
пүүз 1
 
5.3%
Other values (6) 6
31.6%
2025-03-05T09:50:27.955064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
11.1%
а 12
 
9.5%
г 11
 
8.7%
н 7
 
5.6%
л 6
 
4.8%
п 6
 
4.8%
э 6
 
4.8%
д 5
 
4.0%
ү 5
 
4.0%
t 4
 
3.2%
Other values (25) 50
39.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 126
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14
 
11.1%
а 12
 
9.5%
г 11
 
8.7%
н 7
 
5.6%
л 6
 
4.8%
п 6
 
4.8%
э 6
 
4.8%
д 5
 
4.0%
ү 5
 
4.0%
t 4
 
3.2%
Other values (25) 50
39.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 126
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14
 
11.1%
а 12
 
9.5%
г 11
 
8.7%
н 7
 
5.6%
л 6
 
4.8%
п 6
 
4.8%
э 6
 
4.8%
д 5
 
4.0%
ү 5
 
4.0%
t 4
 
3.2%
Other values (25) 50
39.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 126
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14
 
11.1%
а 12
 
9.5%
г 11
 
8.7%
н 7
 
5.6%
л 6
 
4.8%
п 6
 
4.8%
э 6
 
4.8%
д 5
 
4.0%
ү 5
 
4.0%
t 4
 
3.2%
Other values (25) 50
39.7%

M01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Writing is a natural way for me to express myself.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.161016949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:28.187274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.307246986
Coefficient of variation (CV)0.4135526659
Kurtosis-1.033279844
Mean3.161016949
Median Absolute Deviation (MAD)1
Skewness-0.0002884568729
Sum373
Variance1.708894683
MonotonicityNot monotonic
2025-03-05T09:50:28.460128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 38
23.5%
5 27
16.7%
2 23
14.2%
4 16
 
9.9%
1 14
 
8.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 14
 
8.6%
2 23
14.2%
3 38
23.5%
4 16
9.9%
5 27
16.7%
ValueCountFrequency (%)
5 27
16.7%
4 16
9.9%
3 38
23.5%
2 23
14.2%
1 14
 
8.6%

M01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.169491525
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:28.736235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.532023324
Coefficient of variation (CV)0.4833656477
Kurtosis-1.44644739
Mean3.169491525
Median Absolute Deviation (MAD)2
Skewness-0.1310678249
Sum374
Variance2.347095466
MonotonicityNot monotonic
2025-03-05T09:50:29.018267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 36
22.2%
1 25
15.4%
3 23
14.2%
2 18
11.1%
4 16
 
9.9%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 25
15.4%
2 18
11.1%
3 23
14.2%
4 16
9.9%
5 36
22.2%
ValueCountFrequency (%)
5 36
22.2%
4 16
9.9%
3 23
14.2%
2 18
11.1%
1 25
15.4%

M01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)4.3%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean2.581196581
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:29.291861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40343984
Coefficient of variation (CV)0.5437167591
Kurtosis-1.059250322
Mean2.581196581
Median Absolute Deviation (MAD)1
Skewness0.4209008826
Sum302
Variance1.969643383
MonotonicityNot monotonic
2025-03-05T09:50:29.565656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 36
22.2%
3 27
16.7%
2 24
14.8%
5 17
 
10.5%
4 13
 
8.0%
(Missing) 45
27.8%
ValueCountFrequency (%)
1 36
22.2%
2 24
14.8%
3 27
16.7%
4 13
 
8.0%
5 17
10.5%
ValueCountFrequency (%)
5 17
10.5%
4 13
 
8.0%
3 27
16.7%
2 24
14.8%
1 36
22.2%

M01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.940677966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:29.840447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.088340483
Coefficient of variation (CV)0.2761810257
Kurtosis0.4894683811
Mean3.940677966
Median Absolute Deviation (MAD)1
Skewness-1.013765246
Sum465
Variance1.184485007
MonotonicityNot monotonic
2025-03-05T09:50:30.104979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 43
26.5%
4 43
26.5%
3 19
11.7%
2 8
 
4.9%
1 5
 
3.1%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 5
 
3.1%
2 8
 
4.9%
3 19
11.7%
4 43
26.5%
5 43
26.5%
ValueCountFrequency (%)
5 43
26.5%
4 43
26.5%
3 19
11.7%
2 8
 
4.9%
1 5
 
3.1%

M01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.644067797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:30.357227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.297765494
Coefficient of variation (CV)0.356130996
Kurtosis-0.7382293765
Mean3.644067797
Median Absolute Deviation (MAD)1
Skewness-0.6216157517
Sum430
Variance1.684195277
MonotonicityNot monotonic
2025-03-05T09:50:30.615966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 40
24.7%
4 31
19.1%
3 22
13.6%
2 15
 
9.3%
1 10
 
6.2%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 10
 
6.2%
2 15
 
9.3%
3 22
13.6%
4 31
19.1%
5 40
24.7%
ValueCountFrequency (%)
5 40
24.7%
4 31
19.1%
3 22
13.6%
2 15
 
9.3%
1 10
 
6.2%

M01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can work with and solve complex problems.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.254237288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:30.883436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.22778684
Coefficient of variation (CV)0.3772886644
Kurtosis-0.8204012891
Mean3.254237288
Median Absolute Deviation (MAD)1
Skewness-0.2182507764
Sum384
Variance1.507460524
MonotonicityNot monotonic
2025-03-05T09:50:31.159278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 36
22.2%
4 29
17.9%
5 22
13.6%
2 19
11.7%
1 12
 
7.4%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 12
 
7.4%
2 19
11.7%
3 36
22.2%
4 29
17.9%
5 22
13.6%
ValueCountFrequency (%)
5 22
13.6%
4 29
17.9%
3 36
22.2%
2 19
11.7%
1 12
 
7.4%

M01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Mental arithmetic is easy for me.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:31.425055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.333333333
Coefficient of variation (CV)0.4444444444
Kurtosis-1.051679088
Mean3
Median Absolute Deviation (MAD)1
Skewness0.132045756
Sum354
Variance1.777777778
MonotonicityNot monotonic
2025-03-05T09:50:31.711641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 36
22.2%
2 26
16.0%
5 24
14.8%
1 18
11.1%
4 14
 
8.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 18
11.1%
2 26
16.0%
3 36
22.2%
4 14
 
8.6%
5 24
14.8%
ValueCountFrequency (%)
5 24
14.8%
4 14
 
8.6%
3 36
22.2%
2 26
16.0%
1 18
11.1%

M01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at games and problem solving, which require logical thinking.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.661016949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:31.994328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.039562194
Coefficient of variation (CV)0.2839544882
Kurtosis-0.8704502745
Mean3.661016949
Median Absolute Deviation (MAD)1
Skewness-0.3004283458
Sum432
Variance1.080689555
MonotonicityNot monotonic
2025-03-05T09:50:32.254264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 40
24.7%
3 30
18.5%
5 29
17.9%
2 18
11.1%
1 1
 
0.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 1
 
0.6%
2 18
11.1%
3 30
18.5%
4 40
24.7%
5 29
17.9%
ValueCountFrequency (%)
5 29
17.9%
4 40
24.7%
3 30
18.5%
2 18
11.1%
1 1
 
0.6%

M01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.847457627
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:32.511009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.271832372
Coefficient of variation (CV)0.4466554165
Kurtosis-0.9007996201
Mean2.847457627
Median Absolute Deviation (MAD)1
Skewness0.1649341339
Sum336
Variance1.617557584
MonotonicityNot monotonic
2025-03-05T09:50:32.786984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 37
22.8%
2 26
16.0%
1 21
13.0%
4 18
11.1%
5 16
 
9.9%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 21
13.0%
2 26
16.0%
3 37
22.8%
4 18
11.1%
5 16
9.9%
ValueCountFrequency (%)
5 16
9.9%
4 18
11.1%
3 37
22.8%
2 26
16.0%
1 21
13.0%

M01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is easy for me to conceptualize complex and multidimensional patterns.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.13559322
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:33.066317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.093221181
Coefficient of variation (CV)0.3486489173
Kurtosis-0.7930878114
Mean3.13559322
Median Absolute Deviation (MAD)1
Skewness0.04542097543
Sum370
Variance1.195132551
MonotonicityNot monotonic
2025-03-05T09:50:33.332533image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 36
22.2%
4 31
19.1%
2 31
19.1%
5 14
 
8.6%
1 6
 
3.7%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 6
 
3.7%
2 31
19.1%
3 36
22.2%
4 31
19.1%
5 14
 
8.6%
ValueCountFrequency (%)
5 14
 
8.6%
4 31
19.1%
3 36
22.2%
2 31
19.1%
1 6
 
3.7%

M01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.025423729
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:33.598377image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.229702656
Coefficient of variation (CV)0.4064563401
Kurtosis-0.9241610055
Mean3.025423729
Median Absolute Deviation (MAD)1
Skewness0.03508517112
Sum357
Variance1.512168622
MonotonicityNot monotonic
2025-03-05T09:50:33.880628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 34
21.0%
2 28
17.3%
4 25
15.4%
5 17
 
10.5%
1 14
 
8.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 14
8.6%
2 28
17.3%
3 34
21.0%
4 25
15.4%
5 17
10.5%
ValueCountFrequency (%)
5 17
10.5%
4 25
15.4%
3 34
21.0%
2 28
17.3%
1 14
8.6%

M01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.983050847
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:34.153357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.085908583
Coefficient of variation (CV)0.2726323676
Kurtosis0.2364268133
Mean3.983050847
Median Absolute Deviation (MAD)1
Skewness-0.9436779132
Sum470
Variance1.17919745
MonotonicityNot monotonic
2025-03-05T09:50:34.405781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 48
29.6%
4 36
22.2%
3 22
13.6%
2 8
 
4.9%
1 4
 
2.5%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 4
 
2.5%
2 8
 
4.9%
3 22
13.6%
4 36
22.2%
5 48
29.6%
ValueCountFrequency (%)
5 48
29.6%
4 36
22.2%
3 22
13.6%
2 8
 
4.9%
1 4
 
2.5%

M01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am handy.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.830508475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:34.663668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.335287573
Coefficient of variation (CV)0.4717483041
Kurtosis-1.078930039
Mean2.830508475
Median Absolute Deviation (MAD)1
Skewness0.2726020329
Sum334
Variance1.782992902
MonotonicityNot monotonic
2025-03-05T09:50:34.941877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 34
21.0%
3 26
16.0%
1 21
13.0%
5 19
11.7%
4 18
11.1%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 21
13.0%
2 34
21.0%
3 26
16.0%
4 18
11.1%
5 19
11.7%
ValueCountFrequency (%)
5 19
11.7%
4 18
11.1%
3 26
16.0%
2 34
21.0%
1 21
13.0%

M01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily do something concrete with my hands (e.g. knitting and woodwork).

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.661016949
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:35.215279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.391183097
Coefficient of variation (CV)0.5228012913
Kurtosis-1.165986794
Mean2.661016949
Median Absolute Deviation (MAD)1
Skewness0.2999053919
Sum314
Variance1.93539041
MonotonicityNot monotonic
2025-03-05T09:50:35.482162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 33
20.4%
2 25
15.4%
3 25
15.4%
4 19
11.7%
5 16
 
9.9%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 33
20.4%
2 25
15.4%
3 25
15.4%
4 19
11.7%
5 16
9.9%
ValueCountFrequency (%)
5 16
9.9%
4 19
11.7%
3 25
15.4%
2 25
15.4%
1 33
20.4%

M01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am good at showing how to do something in practice.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.279661017
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:35.744446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053164488
Coefficient of variation (CV)0.3211199215
Kurtosis-0.5677742637
Mean3.279661017
Median Absolute Deviation (MAD)1
Skewness-0.092716028
Sum387
Variance1.10915544
MonotonicityNot monotonic
2025-03-05T09:50:36.021884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 42
25.9%
4 33
20.4%
2 22
13.6%
5 16
 
9.9%
1 5
 
3.1%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 5
 
3.1%
2 22
13.6%
3 42
25.9%
4 33
20.4%
5 16
 
9.9%
ValueCountFrequency (%)
5 16
 
9.9%
4 33
20.4%
3 42
25.9%
2 22
13.6%
1 5
 
3.1%

M01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I was good at handicrafts at school

Distinct5
Distinct (%)4.3%
Missing46
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:36.284106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.413444759
Coefficient of variation (CV)0.5139799124
Kurtosis-1.244717306
Mean2.75
Median Absolute Deviation (MAD)1
Skewness0.2291314255
Sum319
Variance1.997826087
MonotonicityNot monotonic
2025-03-05T09:50:36.553698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 30
18.5%
2 25
15.4%
3 23
14.2%
4 20
12.3%
5 18
 
11.1%
(Missing) 46
28.4%
ValueCountFrequency (%)
1 30
18.5%
2 25
15.4%
3 23
14.2%
4 20
12.3%
5 18
11.1%
ValueCountFrequency (%)
5 18
11.1%
4 20
12.3%
3 23
14.2%
2 25
15.4%
1 30
18.5%

M01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: After hearing a tune once or twice I am able to sing or whistle it quite accurately

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.440677966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:36.825617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.291274947
Coefficient of variation (CV)0.5290640409
Kurtosis-0.9430954648
Mean2.440677966
Median Absolute Deviation (MAD)1
Skewness0.4360918906
Sum288
Variance1.667390989
MonotonicityNot monotonic
2025-03-05T09:50:37.117014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 38
23.5%
3 27
16.7%
2 26
16.0%
4 18
11.1%
5 9
 
5.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 38
23.5%
2 26
16.0%
3 27
16.7%
4 18
11.1%
5 9
 
5.6%
ValueCountFrequency (%)
5 9
 
5.6%
4 18
11.1%
3 27
16.7%
2 26
16.0%
1 38
23.5%

M01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)4.3%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.145299145
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:37.388743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.294983406
Coefficient of variation (CV)0.4117202677
Kurtosis-1.08562023
Mean3.145299145
Median Absolute Deviation (MAD)1
Skewness-0.008699244951
Sum368
Variance1.676982022
MonotonicityNot monotonic
2025-03-05T09:50:37.665799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 31
19.1%
2 27
16.7%
5 24
14.8%
4 22
13.6%
1 13
 
8.0%
(Missing) 45
27.8%
ValueCountFrequency (%)
1 13
8.0%
2 27
16.7%
3 31
19.1%
4 22
13.6%
5 24
14.8%
ValueCountFrequency (%)
5 24
14.8%
4 22
13.6%
3 31
19.1%
2 27
16.7%
1 13
8.0%

M01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I can easily keep the rhythm when drumming a melody

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.118644068
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:37.946618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.366069235
Coefficient of variation (CV)0.4380330699
Kurtosis-1.289346291
Mean3.118644068
Median Absolute Deviation (MAD)1
Skewness0.007124753955
Sum368
Variance1.866145154
MonotonicityNot monotonic
2025-03-05T09:50:38.213828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 32
19.8%
5 26
16.0%
4 24
14.8%
3 21
13.0%
1 15
 
9.3%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 15
9.3%
2 32
19.8%
3 21
13.0%
4 24
14.8%
5 26
16.0%
ValueCountFrequency (%)
5 26
16.0%
4 24
14.8%
3 21
13.0%
2 32
19.8%
1 15
9.3%

M01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I notice immediately if a melody is out of tune

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.203389831
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:38.472406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.387116064
Coefficient of variation (CV)0.4330150676
Kurtosis-1.24793613
Mean3.203389831
Median Absolute Deviation (MAD)1
Skewness-0.1575165864
Sum378
Variance1.924090975
MonotonicityNot monotonic
2025-03-05T09:50:38.724303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 28
17.3%
4 26
16.0%
2 24
14.8%
3 23
14.2%
1 17
 
10.5%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 17
10.5%
2 24
14.8%
3 23
14.2%
4 26
16.0%
5 28
17.3%
ValueCountFrequency (%)
5 28
17.3%
4 26
16.0%
3 23
14.2%
2 24
14.8%
1 17
10.5%

M01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even in strange company, I easily find someone to talk to

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.203389831
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:38.998407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.380940606
Coefficient of variation (CV)0.4310872792
Kurtosis-1.245299732
Mean3.203389831
Median Absolute Deviation (MAD)1
Skewness-0.1159921204
Sum378
Variance1.906996958
MonotonicityNot monotonic
2025-03-05T09:50:39.277554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 29
17.9%
3 25
15.4%
2 25
15.4%
4 23
14.2%
1 16
 
9.9%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 16
9.9%
2 25
15.4%
3 25
15.4%
4 23
14.2%
5 29
17.9%
ValueCountFrequency (%)
5 29
17.9%
4 23
14.2%
3 25
15.4%
2 25
15.4%
1 16
9.9%

M01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I get alone easily with different types of people

Distinct5
Distinct (%)4.3%
Missing46
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean3.275862069
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:39.543539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.282566767
Coefficient of variation (CV)0.3915203814
Kurtosis-0.9731431795
Mean3.275862069
Median Absolute Deviation (MAD)1
Skewness-0.2557913899
Sum380
Variance1.644977511
MonotonicityNot monotonic
2025-03-05T09:50:40.045804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 30
18.5%
3 29
17.9%
5 24
14.8%
2 20
12.3%
1 13
 
8.0%
(Missing) 46
28.4%
ValueCountFrequency (%)
1 13
8.0%
2 20
12.3%
3 29
17.9%
4 30
18.5%
5 24
14.8%
ValueCountFrequency (%)
5 24
14.8%
4 30
18.5%
3 29
17.9%
2 20
12.3%
1 13
8.0%

M01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I make contact easily with other people.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.288135593
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:40.316933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.275017646
Coefficient of variation (CV)0.3877630986
Kurtosis-1.024506031
Mean3.288135593
Median Absolute Deviation (MAD)1
Skewness-0.1561891504
Sum388
Variance1.625669999
MonotonicityNot monotonic
2025-03-05T09:50:40.590874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 32
19.8%
5 27
16.7%
4 25
15.4%
2 23
14.2%
1 11
 
6.8%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 11
 
6.8%
2 23
14.2%
3 32
19.8%
4 25
15.4%
5 27
16.7%
ValueCountFrequency (%)
5 27
16.7%
4 25
15.4%
3 32
19.8%
2 23
14.2%
1 11
 
6.8%

M01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In negotiations and group work, I am able to support the group to find a consensus.

Distinct5
Distinct (%)4.3%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.743589744
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:40.853889image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.107605729
Coefficient of variation (CV)0.2958672838
Kurtosis-0.1951472534
Mean3.743589744
Median Absolute Deviation (MAD)1
Skewness-0.6749019482
Sum438
Variance1.226790451
MonotonicityNot monotonic
2025-03-05T09:50:41.124967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 40
24.7%
5 34
21.0%
3 27
16.7%
2 11
 
6.8%
1 5
 
3.1%
(Missing) 45
27.8%
ValueCountFrequency (%)
1 5
 
3.1%
2 11
 
6.8%
3 27
16.7%
4 40
24.7%
5 34
21.0%
ValueCountFrequency (%)
5 34
21.0%
4 40
24.7%
3 27
16.7%
2 11
 
6.8%
1 5
 
3.1%

M01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I am able to analyse my own motives and ways of action.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.601694915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:41.388699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08714187
Coefficient of variation (CV)0.3018417426
Kurtosis-0.5544846924
Mean3.601694915
Median Absolute Deviation (MAD)1
Skewness-0.367509211
Sum425
Variance1.181877445
MonotonicityNot monotonic
2025-03-05T09:50:41.666597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 36
22.2%
4 35
21.6%
5 29
17.9%
2 14
 
8.6%
1 4
 
2.5%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 4
 
2.5%
2 14
 
8.6%
3 36
22.2%
4 35
21.6%
5 29
17.9%
ValueCountFrequency (%)
5 29
17.9%
4 35
21.6%
3 36
22.2%
2 14
 
8.6%
1 4
 
2.5%

M01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.754237288
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:41.944758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.124220077
Coefficient of variation (CV)0.2994536547
Kurtosis-0.4509058769
Mean3.754237288
Median Absolute Deviation (MAD)1
Skewness-0.637749013
Sum443
Variance1.263870781
MonotonicityNot monotonic
2025-03-05T09:50:42.215306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 40
24.7%
5 36
22.2%
3 23
14.2%
2 15
 
9.3%
1 4
 
2.5%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 4
 
2.5%
2 15
 
9.3%
3 23
14.2%
4 40
24.7%
5 36
22.2%
ValueCountFrequency (%)
5 36
22.2%
4 40
24.7%
3 23
14.2%
2 15
 
9.3%
1 4
 
2.5%

M01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I spend time regularly reflecting on the important issues in life.

Distinct5
Distinct (%)4.3%
Missing46
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean3.387931034
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:42.469630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.256437695
Coefficient of variation (CV)0.3708569279
Kurtosis-0.9915035976
Mean3.387931034
Median Absolute Deviation (MAD)1
Skewness-0.2634252224
Sum393
Variance1.578635682
MonotonicityNot monotonic
2025-03-05T09:50:42.728507image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 29
17.9%
5 28
17.3%
3 28
17.3%
2 22
13.6%
1 9
 
5.6%
(Missing) 46
28.4%
ValueCountFrequency (%)
1 9
 
5.6%
2 22
13.6%
3 28
17.3%
4 29
17.9%
5 28
17.3%
ValueCountFrequency (%)
5 28
17.3%
4 29
17.9%
3 28
17.3%
2 22
13.6%
1 9
 
5.6%

M01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.813559322
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:43.009369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.239996916
Coefficient of variation (CV)0.4407217954
Kurtosis-0.7831670264
Mean2.813559322
Median Absolute Deviation (MAD)1
Skewness0.2252052502
Sum332
Variance1.537592351
MonotonicityNot monotonic
2025-03-05T09:50:43.288922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 39
24.1%
2 28
17.3%
1 20
12.3%
4 16
 
9.9%
5 15
 
9.3%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 20
12.3%
2 28
17.3%
3 39
24.1%
4 16
9.9%
5 15
 
9.3%
ValueCountFrequency (%)
5 15
 
9.3%
4 16
9.9%
3 39
24.1%
2 28
17.3%
1 20
12.3%

M01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I enjoy the beauty and experiences related to nature

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean4.508474576
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:43.557778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7925482294
Coefficient of variation (CV)0.1757907727
Kurtosis3.508179664
Mean4.508474576
Median Absolute Deviation (MAD)0
Skewness-1.809665717
Sum532
Variance0.6281326959
MonotonicityNot monotonic
2025-03-05T09:50:43.816263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 77
47.5%
4 28
 
17.3%
3 10
 
6.2%
2 2
 
1.2%
1 1
 
0.6%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 1
 
0.6%
2 2
 
1.2%
3 10
 
6.2%
4 28
 
17.3%
5 77
47.5%
ValueCountFrequency (%)
5 77
47.5%
4 28
 
17.3%
3 10
 
6.2%
2 2
 
1.2%
1 1
 
0.6%

M01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Protecting the nature is important to me

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.949152542
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:44.075291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.9944070744
Coefficient of variation (CV)0.2518026497
Kurtosis0.6402432239
Mean3.949152542
Median Absolute Deviation (MAD)1
Skewness-0.9578969251
Sum466
Variance0.9888454295
MonotonicityNot monotonic
2025-03-05T09:50:44.347824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 50
30.9%
5 38
23.5%
3 19
 
11.7%
2 8
 
4.9%
1 3
 
1.9%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 3
 
1.9%
2 8
 
4.9%
3 19
 
11.7%
4 50
30.9%
5 38
23.5%
ValueCountFrequency (%)
5 38
23.5%
4 50
30.9%
3 19
 
11.7%
2 8
 
4.9%
1 3
 
1.9%

M01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I pay attention to my consumption habits in order to protect environment.

Distinct5
Distinct (%)4.3%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.35042735
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:44.610554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.093209758
Coefficient of variation (CV)0.3262896471
Kurtosis-0.5543718352
Mean3.35042735
Median Absolute Deviation (MAD)1
Skewness-0.1730395261
Sum392
Variance1.195107574
MonotonicityNot monotonic
2025-03-05T09:50:44.871070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 42
25.9%
4 31
19.1%
5 20
12.3%
2 18
 
11.1%
1 6
 
3.7%
(Missing) 45
27.8%
ValueCountFrequency (%)
1 6
 
3.7%
2 18
11.1%
3 42
25.9%
4 31
19.1%
5 20
12.3%
ValueCountFrequency (%)
5 20
12.3%
4 31
19.1%
3 42
25.9%
2 18
11.1%
1 6
 
3.7%

M01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: In midst of busy everyday life, I find it important to contemplate.

Distinct4
Distinct (%)3.4%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.692307692
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:45.126597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.003970896
Coefficient of variation (CV)0.2719087843
Kurtosis-1.049884671
Mean3.692307692
Median Absolute Deviation (MAD)1
Skewness-0.1790829307
Sum432
Variance1.00795756
MonotonicityNot monotonic
2025-03-05T09:50:45.369075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 37
22.8%
3 34
21.0%
5 30
18.5%
2 16
 
9.9%
(Missing) 45
27.8%
ValueCountFrequency (%)
2 16
9.9%
3 34
21.0%
4 37
22.8%
5 30
18.5%
ValueCountFrequency (%)
5 30
18.5%
4 37
22.8%
3 34
21.0%
2 16
9.9%

M01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.440677966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:45.618296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180629796
Coefficient of variation (CV)0.3431387093
Kurtosis-0.7835356451
Mean3.440677966
Median Absolute Deviation (MAD)1
Skewness-0.2520181355
Sum406
Variance1.393886716
MonotonicityNot monotonic
2025-03-05T09:50:45.885855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 37
22.8%
4 28
17.3%
5 28
17.3%
2 18
11.1%
1 7
 
4.3%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 7
 
4.3%
2 18
11.1%
3 37
22.8%
4 28
17.3%
5 28
17.3%
ValueCountFrequency (%)
5 28
17.3%
4 28
17.3%
3 37
22.8%
2 18
11.1%
1 7
 
4.3%

M01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: I often reflect on the meaning of life.

Distinct5
Distinct (%)4.3%
Missing45
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean3.88034188
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:46.159354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.138377499
Coefficient of variation (CV)0.2933704128
Kurtosis-0.09445042398
Mean3.88034188
Median Absolute Deviation (MAD)1
Skewness-0.831366672
Sum454
Variance1.29590333
MonotonicityNot monotonic
2025-03-05T09:50:46.420938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 44
27.2%
4 35
21.6%
3 23
14.2%
2 10
 
6.2%
1 5
 
3.1%
(Missing) 45
27.8%
ValueCountFrequency (%)
1 5
 
3.1%
2 10
 
6.2%
3 23
14.2%
4 35
21.6%
5 44
27.2%
ValueCountFrequency (%)
5 44
27.2%
4 35
21.6%
3 23
14.2%
2 10
 
6.2%
1 5
 
3.1%

M01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree Answer: It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)4.2%
Missing44
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.627118644
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:46.675659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.100090207
Coefficient of variation (CV)0.3032958983
Kurtosis-0.1841302864
Mean3.627118644
Median Absolute Deviation (MAD)1
Skewness-0.6236059523
Sum428
Variance1.210198464
MonotonicityNot monotonic
2025-03-05T09:50:46.934572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 44
27.2%
3 29
17.9%
5 27
16.7%
2 12
 
7.4%
1 6
 
3.7%
(Missing) 44
27.2%
ValueCountFrequency (%)
1 6
 
3.7%
2 12
 
7.4%
3 29
17.9%
4 44
27.2%
5 27
16.7%
ValueCountFrequency (%)
5 27
16.7%
4 44
27.2%
3 29
17.9%
2 12
 
7.4%
1 6
 
3.7%

F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct7
Distinct (%)5.7%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.479674797
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:47.184213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.326585618
Coefficient of variation (CV)0.5349837082
Kurtosis1.421960551
Mean2.479674797
Median Absolute Deviation (MAD)1
Skewness0.9867293768
Sum305
Variance1.759829402
MonotonicityNot monotonic
2025-03-05T09:50:47.461227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 37
22.8%
1 33
20.4%
3 27
16.7%
4 17
10.5%
5 7
 
4.3%
8 1
 
0.6%
6 1
 
0.6%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 33
20.4%
2 37
22.8%
3 27
16.7%
4 17
10.5%
5 7
 
4.3%
ValueCountFrequency (%)
8 1
 
0.6%
6 1
 
0.6%
5 7
 
4.3%
4 17
10.5%
3 27
16.7%

F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct7
Distinct (%)5.7%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.349593496
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:47.709697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.5
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.746113905
Coefficient of variation (CV)0.5212912871
Kurtosis-0.4309669099
Mean3.349593496
Median Absolute Deviation (MAD)1
Skewness0.3687885069
Sum412
Variance3.048913768
MonotonicityNot monotonic
2025-03-05T09:50:47.973011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 30
18.5%
2 23
14.2%
1 23
14.2%
5 17
10.5%
3 16
9.9%
6 11
 
6.8%
8 3
 
1.9%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 23
14.2%
2 23
14.2%
3 16
9.9%
4 30
18.5%
5 17
10.5%
ValueCountFrequency (%)
8 3
 
1.9%
6 11
 
6.8%
5 17
10.5%
4 30
18.5%
3 16
9.9%

F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.032786885
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:48.230515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.51539988
Coefficient of variation (CV)0.7454789734
Kurtosis5.286783637
Mean2.032786885
Median Absolute Deviation (MAD)1
Skewness2.174575223
Sum248
Variance2.296436797
MonotonicityNot monotonic
2025-03-05T09:50:48.487982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 60
37.0%
2 33
20.4%
3 14
 
8.6%
4 7
 
4.3%
5 3
 
1.9%
8 3
 
1.9%
6 1
 
0.6%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 60
37.0%
2 33
20.4%
3 14
 
8.6%
4 7
 
4.3%
5 3
 
1.9%
ValueCountFrequency (%)
8 3
1.9%
7 1
 
0.6%
6 1
 
0.6%
5 3
1.9%
4 7
4.3%

F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to show their abilities. They want people to admire what he does

Distinct8
Distinct (%)6.5%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.341463415
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:48.738979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.754755918
Coefficient of variation (CV)0.5251459317
Kurtosis-0.6611973748
Mean3.341463415
Median Absolute Deviation (MAD)1
Skewness0.3242737623
Sum411
Variance3.079168333
MonotonicityNot monotonic
2025-03-05T09:50:48.994361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 24
14.8%
4 23
14.2%
3 21
13.0%
2 21
13.0%
5 19
11.7%
6 12
 
7.4%
8 2
 
1.2%
7 1
 
0.6%
(Missing) 39
24.1%
ValueCountFrequency (%)
1 24
14.8%
2 21
13.0%
3 21
13.0%
4 23
14.2%
5 19
11.7%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 12
7.4%
5 19
11.7%
4 23
14.2%

F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean1.942622951
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:49.233207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.95
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.489906427
Coefficient of variation (CV)0.7669560512
Kurtosis5.941485565
Mean1.942622951
Median Absolute Deviation (MAD)0
Skewness2.309952113
Sum237
Variance2.219821162
MonotonicityNot monotonic
2025-03-05T09:50:49.481302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 66
40.7%
2 29
17.9%
3 14
 
8.6%
4 6
 
3.7%
6 3
 
1.9%
8 3
 
1.9%
5 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 66
40.7%
2 29
17.9%
3 14
 
8.6%
4 6
 
3.7%
5 1
 
0.6%
ValueCountFrequency (%)
8 3
 
1.9%
6 3
 
1.9%
5 1
 
0.6%
4 6
3.7%
3 14
8.6%

F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to do lots of different things in life. They always look for new things to try

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.508196721
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:49.737121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.522535411
Coefficient of variation (CV)0.6070239219
Kurtosis1.335416097
Mean2.508196721
Median Absolute Deviation (MAD)1
Skewness1.091165688
Sum306
Variance2.318114077
MonotonicityNot monotonic
2025-03-05T09:50:49.992467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 41
25.3%
2 28
17.3%
3 23
14.2%
4 18
11.1%
5 8
 
4.9%
6 2
 
1.2%
8 2
 
1.2%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 41
25.3%
2 28
17.3%
3 23
14.2%
4 18
11.1%
5 8
 
4.9%
ValueCountFrequency (%)
8 2
 
1.2%
6 2
 
1.2%
5 8
 
4.9%
4 18
11.1%
3 23
14.2%

F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.721311475
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:50.234625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.622477929
Coefficient of variation (CV)0.596211769
Kurtosis1.568834149
Mean2.721311475
Median Absolute Deviation (MAD)1
Skewness1.205814626
Sum332
Variance2.632434629
MonotonicityNot monotonic
2025-03-05T09:50:50.484227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 32
19.8%
3 32
19.8%
2 29
17.9%
4 15
 
9.3%
6 5
 
3.1%
5 5
 
3.1%
8 3
 
1.9%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 32
19.8%
2 29
17.9%
3 32
19.8%
4 15
9.3%
5 5
 
3.1%
ValueCountFrequency (%)
8 3
 
1.9%
7 1
 
0.6%
6 5
 
3.1%
5 5
 
3.1%
4 15
9.3%

F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.516393443
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:50.737182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.472803626
Coefficient of variation (CV)0.5852835258
Kurtosis1.980322487
Mean2.516393443
Median Absolute Deviation (MAD)1
Skewness1.277113579
Sum307
Variance2.169150522
MonotonicityNot monotonic
2025-03-05T09:50:50.984093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 41
25.3%
1 33
20.4%
3 20
12.3%
4 17
10.5%
5 6
 
3.7%
6 3
 
1.9%
8 2
 
1.2%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 33
20.4%
2 41
25.3%
3 20
12.3%
4 17
10.5%
5 6
 
3.7%
ValueCountFrequency (%)
8 2
 
1.2%
6 3
 
1.9%
5 6
 
3.7%
4 17
10.5%
3 20
12.3%

F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.418032787
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:51.231450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.75
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.56321434
Coefficient of variation (CV)0.4573432842
Kurtosis-0.07380863765
Mean3.418032787
Median Absolute Deviation (MAD)1
Skewness0.3987279203
Sum417
Variance2.443639073
MonotonicityNot monotonic
2025-03-05T09:50:51.479531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 29
17.9%
4 25
15.4%
2 23
14.2%
5 21
13.0%
1 14
 
8.6%
6 7
 
4.3%
8 2
 
1.2%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 14
8.6%
2 23
14.2%
3 29
17.9%
4 25
15.4%
5 21
13.0%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 7
 
4.3%
5 21
13.0%
4 25
15.4%

F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.163934426
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:51.743857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.750374957
Coefficient of variation (CV)0.5532273181
Kurtosis-0.4909046542
Mean3.163934426
Median Absolute Deviation (MAD)1
Skewness0.4686787183
Sum386
Variance3.063812492
MonotonicityNot monotonic
2025-03-05T09:50:52.001116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 28
17.3%
4 24
14.8%
2 22
13.6%
3 20
12.3%
5 15
 
9.3%
6 10
 
6.2%
8 2
 
1.2%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 28
17.3%
2 22
13.6%
3 20
12.3%
4 24
14.8%
5 15
9.3%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 10
6.2%
5 15
9.3%
4 24
14.8%

F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.344262295
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:52.249047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.56812512
Coefficient of variation (CV)0.6689205059
Kurtosis3.440003811
Mean2.344262295
Median Absolute Deviation (MAD)1
Skewness1.71207244
Sum286
Variance2.459016393
MonotonicityNot monotonic
2025-03-05T09:50:52.497359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 45
27.8%
2 33
20.4%
3 23
14.2%
4 13
 
8.0%
8 3
 
1.9%
7 2
 
1.2%
5 2
 
1.2%
6 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 45
27.8%
2 33
20.4%
3 23
14.2%
4 13
 
8.0%
5 2
 
1.2%
ValueCountFrequency (%)
8 3
 
1.9%
7 2
 
1.2%
6 1
 
0.6%
5 2
 
1.2%
4 13
8.0%

F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It's very important to them to help the people around them. They want to care for other people

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.487603306
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:52.749907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.414895182
Coefficient of variation (CV)0.5687784617
Kurtosis2.067346431
Mean2.487603306
Median Absolute Deviation (MAD)1
Skewness1.255098684
Sum301
Variance2.001928375
MonotonicityNot monotonic
2025-03-05T09:50:53.017841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 38
23.5%
1 33
20.4%
3 25
15.4%
4 16
 
9.9%
5 5
 
3.1%
7 2
 
1.2%
6 1
 
0.6%
8 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 33
20.4%
2 38
23.5%
3 25
15.4%
4 16
9.9%
5 5
 
3.1%
ValueCountFrequency (%)
8 1
 
0.6%
7 2
 
1.2%
6 1
 
0.6%
5 5
 
3.1%
4 16
9.9%

F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Being very successful is important to them. They like to impress other people

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.62295082
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:53.263705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.602311702
Coefficient of variation (CV)0.6108813365
Kurtosis0.03189883739
Mean2.62295082
Median Absolute Deviation (MAD)1
Skewness0.8209379081
Sum320
Variance2.567402791
MonotonicityNot monotonic
2025-03-05T09:50:53.508411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 41
25.3%
2 25
15.4%
3 21
13.0%
4 19
11.7%
5 8
 
4.9%
6 7
 
4.3%
8 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 41
25.3%
2 25
15.4%
3 21
13.0%
4 19
11.7%
5 8
 
4.9%
ValueCountFrequency (%)
8 1
 
0.6%
6 7
 
4.3%
5 8
 
4.9%
4 19
11.7%
3 21
13.0%

F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.737704918
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:53.998116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.853311883
Coefficient of variation (CV)0.6769582328
Kurtosis0.1907972734
Mean2.737704918
Median Absolute Deviation (MAD)1
Skewness0.9783726861
Sum334
Variance3.434764937
MonotonicityNot monotonic
2025-03-05T09:50:54.238306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
26.5%
2 27
16.7%
4 19
11.7%
3 12
 
7.4%
5 9
 
5.6%
6 7
 
4.3%
8 3
 
1.9%
7 2
 
1.2%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 43
26.5%
2 27
16.7%
3 12
 
7.4%
4 19
11.7%
5 9
 
5.6%
ValueCountFrequency (%)
8 3
 
1.9%
7 2
 
1.2%
6 7
 
4.3%
5 9
5.6%
4 19
11.7%

F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like to take risks. They are always looking for adventures

Distinct7
Distinct (%)5.8%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean3.708333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:54.475329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.716924323
Coefficient of variation (CV)0.4629908287
Kurtosis-0.3515970236
Mean3.708333333
Median Absolute Deviation (MAD)1
Skewness0.2818431961
Sum445
Variance2.947829132
MonotonicityNot monotonic
2025-03-05T09:50:54.730527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 25
15.4%
5 22
13.6%
3 22
13.6%
2 20
12.3%
6 14
 
8.6%
1 13
 
8.0%
8 4
 
2.5%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 13
8.0%
2 20
12.3%
3 22
13.6%
4 25
15.4%
5 22
13.6%
ValueCountFrequency (%)
8 4
 
2.5%
6 14
8.6%
5 22
13.6%
4 25
15.4%
3 22
13.6%

F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.524590164
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:54.983959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.543919638
Coefficient of variation (CV)0.6115525837
Kurtosis1.584079208
Mean2.524590164
Median Absolute Deviation (MAD)1
Skewness1.179138848
Sum308
Variance2.383687847
MonotonicityNot monotonic
2025-03-05T09:50:55.227863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 40
24.7%
2 28
17.3%
3 26
16.0%
4 16
 
9.9%
5 7
 
4.3%
8 2
 
1.2%
6 2
 
1.2%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 40
24.7%
2 28
17.3%
3 26
16.0%
4 16
 
9.9%
5 7
 
4.3%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 2
 
1.2%
5 7
4.3%
4 16
9.9%

F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean3.537190083
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:55.467387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.638298519
Coefficient of variation (CV)0.4631638337
Kurtosis-0.687051599
Mean3.537190083
Median Absolute Deviation (MAD)1
Skewness0.2335194714
Sum428
Variance2.684022039
MonotonicityNot monotonic
2025-03-05T09:50:55.736423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 27
16.7%
2 22
13.6%
5 21
13.0%
4 21
13.0%
1 14
 
8.6%
6 13
 
8.0%
7 2
 
1.2%
8 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 14
8.6%
2 22
13.6%
3 27
16.7%
4 21
13.0%
5 21
13.0%
ValueCountFrequency (%)
8 1
 
0.6%
7 2
 
1.2%
6 13
8.0%
5 21
13.0%
4 21
13.0%

F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.520661157
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:55.994573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.494987032
Coefficient of variation (CV)0.593093216
Kurtosis1.909250757
Mean2.520661157
Median Absolute Deviation (MAD)1
Skewness1.199516123
Sum305
Variance2.234986226
MonotonicityNot monotonic
2025-03-05T09:50:56.254978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 37
22.8%
2 32
19.8%
3 22
13.6%
4 21
13.0%
5 5
 
3.1%
8 2
 
1.2%
7 1
 
0.6%
6 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 37
22.8%
2 32
19.8%
3 22
13.6%
4 21
13.0%
5 5
 
3.1%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 1
 
0.6%
5 5
 
3.1%
4 21
13.0%

F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct7
Distinct (%)5.8%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.107438017
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:56.501567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.308954117
Coefficient of variation (CV)0.6211115616
Kurtosis2.771090958
Mean2.107438017
Median Absolute Deviation (MAD)1
Skewness1.453020824
Sum255
Variance1.713360882
MonotonicityNot monotonic
2025-03-05T09:50:56.749918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 52
32.1%
2 32
19.8%
3 19
 
11.7%
4 12
 
7.4%
5 4
 
2.5%
8 1
 
0.6%
6 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 52
32.1%
2 32
19.8%
3 19
 
11.7%
4 12
 
7.4%
5 4
 
2.5%
ValueCountFrequency (%)
8 1
 
0.6%
6 1
 
0.6%
5 4
 
2.5%
4 12
7.4%
3 19
11.7%

F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean5.115702479
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:57.012378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.560929652
Coefficient of variation (CV)0.3051251823
Kurtosis0.3959454232
Mean5.115702479
Median Absolute Deviation (MAD)1
Skewness-0.4359552946
Sum619
Variance2.436501377
MonotonicityNot monotonic
2025-03-05T09:50:57.253873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 42
25.9%
5 30
18.5%
4 20
12.3%
8 10
 
6.2%
3 7
 
4.3%
2 6
 
3.7%
7 3
 
1.9%
1 3
 
1.9%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 3
 
1.9%
2 6
 
3.7%
3 7
 
4.3%
4 20
12.3%
5 30
18.5%
ValueCountFrequency (%)
8 10
 
6.2%
7 3
 
1.9%
6 42
25.9%
5 30
18.5%
4 20
12.3%

F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.286885246
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:57.492313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.468565996
Coefficient of variation (CV)0.6421686436
Kurtosis2.347477033
Mean2.286885246
Median Absolute Deviation (MAD)1
Skewness1.351689816
Sum279
Variance2.156686086
MonotonicityNot monotonic
2025-03-05T09:50:57.758608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 51
31.5%
3 26
16.0%
2 23
14.2%
4 13
 
8.0%
5 6
 
3.7%
8 2
 
1.2%
6 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 51
31.5%
2 23
14.2%
3 26
16.0%
4 13
 
8.0%
5 6
 
3.7%
ValueCountFrequency (%)
8 2
 
1.2%
6 1
 
0.6%
5 6
 
3.7%
4 13
8.0%
3 26
16.0%

F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.467213115
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:58.025654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449904108
Coefficient of variation (CV)0.5876687745
Kurtosis2.258693769
Mean2.467213115
Median Absolute Deviation (MAD)1
Skewness1.27362063
Sum301
Variance2.102221921
MonotonicityNot monotonic
2025-03-05T09:50:58.282729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 38
23.5%
3 32
19.8%
2 30
18.5%
4 11
 
6.8%
5 7
 
4.3%
6 2
 
1.2%
8 2
 
1.2%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 38
23.5%
2 30
18.5%
3 32
19.8%
4 11
 
6.8%
5 7
 
4.3%
ValueCountFrequency (%)
8 2
 
1.2%
6 2
 
1.2%
5 7
 
4.3%
4 11
 
6.8%
3 32
19.8%

F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.508196721
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:58.531776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.782587504
Coefficient of variation (CV)0.7107048218
Kurtosis1.99756864
Mean2.508196721
Median Absolute Deviation (MAD)1
Skewness1.53050288
Sum306
Variance3.177618209
MonotonicityNot monotonic
2025-03-05T09:50:58.776673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
26.5%
2 36
22.2%
3 18
11.1%
5 10
 
6.2%
4 7
 
4.3%
8 5
 
3.1%
6 2
 
1.2%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 43
26.5%
2 36
22.2%
3 18
11.1%
4 7
 
4.3%
5 10
 
6.2%
ValueCountFrequency (%)
8 5
3.1%
7 1
 
0.6%
6 2
 
1.2%
5 10
6.2%
4 7
4.3%

F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They think it is important to be ambitious. They want to show how capable he is

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.180327869
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:59.036729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.748748754
Coefficient of variation (CV)0.549864299
Kurtosis-0.1411693004
Mean3.180327869
Median Absolute Deviation (MAD)1
Skewness0.5956183925
Sum388
Variance3.058122206
MonotonicityNot monotonic
2025-03-05T09:50:59.287945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 28
17.3%
1 26
16.0%
2 21
13.0%
4 18
11.1%
5 17
10.5%
6 8
 
4.9%
8 3
 
1.9%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 26
16.0%
2 21
13.0%
3 28
17.3%
4 18
11.1%
5 17
10.5%
ValueCountFrequency (%)
8 3
 
1.9%
7 1
 
0.6%
6 8
4.9%
5 17
10.5%
4 18
11.1%

F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct8
Distinct (%)6.7%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean4.05
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:50:59.539964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.704418381
Coefficient of variation (CV)0.4208440446
Kurtosis0.07672006545
Mean4.05
Median Absolute Deviation (MAD)1
Skewness0.3557663379
Sum486
Variance2.905042017
MonotonicityNot monotonic
2025-03-05T09:50:59.793183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 37
22.8%
3 23
14.2%
5 17
10.5%
6 15
 
9.3%
2 11
 
6.8%
1 9
 
5.6%
8 7
 
4.3%
7 1
 
0.6%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 9
 
5.6%
2 11
 
6.8%
3 23
14.2%
4 37
22.8%
5 17
10.5%
ValueCountFrequency (%)
8 7
 
4.3%
7 1
 
0.6%
6 15
9.3%
5 17
10.5%
4 37
22.8%

F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct7
Distinct (%)5.8%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.258333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:00.057521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.05
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.393235961
Coefficient of variation (CV)0.6169310528
Kurtosis1.487535665
Mean2.258333333
Median Absolute Deviation (MAD)1
Skewness1.137300811
Sum271
Variance1.941106443
MonotonicityNot monotonic
2025-03-05T09:51:00.298977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 50
30.9%
2 24
14.8%
3 22
13.6%
4 18
 
11.1%
5 3
 
1.9%
6 2
 
1.2%
8 1
 
0.6%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 50
30.9%
2 24
14.8%
3 22
13.6%
4 18
 
11.1%
5 3
 
1.9%
ValueCountFrequency (%)
8 1
 
0.6%
6 2
 
1.2%
5 3
 
1.9%
4 18
11.1%
3 22
13.6%

F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to respond to the needs of others. They try to support those he knows

Distinct8
Distinct (%)6.7%
Missing42
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean2.775
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:00.536225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.305853017
Coefficient of variation (CV)0.4705776636
Kurtosis3.761486565
Mean2.775
Median Absolute Deviation (MAD)1
Skewness1.394389467
Sum333
Variance1.705252101
MonotonicityNot monotonic
2025-03-05T09:51:00.777678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 48
29.6%
2 33
20.4%
1 17
 
10.5%
4 13
 
8.0%
5 5
 
3.1%
8 2
 
1.2%
7 1
 
0.6%
6 1
 
0.6%
(Missing) 42
25.9%
ValueCountFrequency (%)
1 17
 
10.5%
2 33
20.4%
3 48
29.6%
4 13
 
8.0%
5 5
 
3.1%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 1
 
0.6%
5 5
 
3.1%
4 13
8.0%

F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct8
Distinct (%)6.7%
Missing43
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean2.714285714
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:01.034627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.456387783
Coefficient of variation (CV)0.5365639202
Kurtosis0.8733021475
Mean2.714285714
Median Absolute Deviation (MAD)1
Skewness0.9300178878
Sum323
Variance2.121065375
MonotonicityNot monotonic
2025-03-05T09:51:01.283088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 35
21.6%
3 27
16.7%
1 26
16.0%
4 17
 
10.5%
5 9
 
5.6%
6 3
 
1.9%
8 1
 
0.6%
7 1
 
0.6%
(Missing) 43
26.5%
ValueCountFrequency (%)
1 26
16.0%
2 35
21.6%
3 27
16.7%
4 17
10.5%
5 9
 
5.6%
ValueCountFrequency (%)
8 1
 
0.6%
7 1
 
0.6%
6 3
 
1.9%
5 9
5.6%
4 17
10.5%

F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.280991736
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:01.532259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.433080252
Coefficient of variation (CV)0.6282706901
Kurtosis3.938559764
Mean2.280991736
Median Absolute Deviation (MAD)1
Skewness1.754960503
Sum276
Variance2.053719008
MonotonicityNot monotonic
2025-03-05T09:51:01.779917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 41
25.3%
2 40
24.7%
3 23
14.2%
4 9
 
5.6%
5 3
 
1.9%
8 2
 
1.2%
6 2
 
1.2%
7 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 41
25.3%
2 40
24.7%
3 23
14.2%
4 9
 
5.6%
5 3
 
1.9%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 2
 
1.2%
5 3
 
1.9%
4 9
5.6%

F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They like surprises. It is important to them to have an exciting life

Distinct7
Distinct (%)5.8%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.47107438
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:02.048092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.623136779
Coefficient of variation (CV)0.6568546831
Kurtosis0.8523581613
Mean2.47107438
Median Absolute Deviation (MAD)1
Skewness1.092915036
Sum299
Variance2.634573003
MonotonicityNot monotonic
2025-03-05T09:51:02.293777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 48
29.6%
3 23
14.2%
2 22
13.6%
5 12
 
7.4%
4 11
 
6.8%
6 3
 
1.9%
8 2
 
1.2%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 48
29.6%
2 22
13.6%
3 23
14.2%
4 11
 
6.8%
5 12
 
7.4%
ValueCountFrequency (%)
8 2
 
1.2%
6 3
 
1.9%
5 12
7.4%
4 11
6.8%
3 23
14.2%

F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct7
Distinct (%)5.8%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.396694215
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:02.531974image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.567797494
Coefficient of variation (CV)0.6541499887
Kurtosis1.519780582
Mean2.396694215
Median Absolute Deviation (MAD)1
Skewness1.256445413
Sum290
Variance2.457988981
MonotonicityNot monotonic
2025-03-05T09:51:02.774161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 47
29.0%
2 28
17.3%
3 18
 
11.1%
4 17
 
10.5%
5 5
 
3.1%
6 4
 
2.5%
8 2
 
1.2%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 47
29.0%
2 28
17.3%
3 18
 
11.1%
4 17
 
10.5%
5 5
 
3.1%
ValueCountFrequency (%)
8 2
 
1.2%
6 4
 
2.5%
5 5
 
3.1%
4 17
10.5%
3 18
11.1%

F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Getting ahead in life is important to them. They strive to do better than others

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.859504132
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:03.035381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.518254399
Coefficient of variation (CV)0.5309502376
Kurtosis0.1132766863
Mean2.859504132
Median Absolute Deviation (MAD)1
Skewness0.6051058193
Sum346
Variance2.305096419
MonotonicityNot monotonic
2025-03-05T09:51:03.289882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 29
17.9%
3 28
17.3%
2 24
14.8%
4 23
14.2%
5 12
 
7.4%
6 3
 
1.9%
8 1
 
0.6%
7 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 29
17.9%
2 24
14.8%
3 28
17.3%
4 23
14.2%
5 12
7.4%
ValueCountFrequency (%)
8 1
 
0.6%
7 1
 
0.6%
6 3
 
1.9%
5 12
7.4%
4 23
14.2%

F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.360655738
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:03.537247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.95
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.872222235
Coefficient of variation (CV)0.5571002747
Kurtosis-0.07024606763
Mean3.360655738
Median Absolute Deviation (MAD)1
Skewness0.6982659622
Sum410
Variance3.505216095
MonotonicityNot monotonic
2025-03-05T09:51:03.784300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 26
16.0%
3 24
14.8%
1 21
13.0%
4 19
11.7%
5 16
 
9.9%
6 9
 
5.6%
8 6
 
3.7%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 21
13.0%
2 26
16.0%
3 24
14.8%
4 19
11.7%
5 16
9.9%
ValueCountFrequency (%)
8 6
 
3.7%
7 1
 
0.6%
6 9
5.6%
5 16
9.9%
4 19
11.7%

F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be independent. They like to rely on themself

Distinct6
Distinct (%)5.0%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean2.115702479
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:04.041704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.473035882
Coefficient of variation (CV)0.6962396163
Kurtosis4.746124707
Mean2.115702479
Median Absolute Deviation (MAD)1
Skewness1.976175989
Sum256
Variance2.169834711
MonotonicityNot monotonic
2025-03-05T09:51:04.281542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 53
32.7%
2 36
22.2%
3 15
 
9.3%
4 8
 
4.9%
5 6
 
3.7%
8 3
 
1.9%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 53
32.7%
2 36
22.2%
3 15
 
9.3%
4 8
 
4.9%
5 6
 
3.7%
ValueCountFrequency (%)
8 3
 
1.9%
5 6
 
3.7%
4 8
 
4.9%
3 15
9.3%
2 36
22.2%

F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: Having a stable government is important to them. They are concerned that the social order be protected

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.016393443
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:04.518933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile7.95
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.92411236
Coefficient of variation (CV)0.6378850758
Kurtosis0.5709926709
Mean3.016393443
Median Absolute Deviation (MAD)1
Skewness1.002546786
Sum368
Variance3.702208373
MonotonicityNot monotonic
2025-03-05T09:51:04.775781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 34
21.0%
3 23
14.2%
2 22
13.6%
4 21
13.0%
5 11
 
6.8%
8 7
 
4.3%
6 2
 
1.2%
7 2
 
1.2%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 34
21.0%
2 22
13.6%
3 23
14.2%
4 21
13.0%
5 11
 
6.8%
ValueCountFrequency (%)
8 7
 
4.3%
7 2
 
1.2%
6 2
 
1.2%
5 11
6.8%
4 21
13.0%

F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct8
Distinct (%)6.6%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.31147541
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:05.037281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.348902016
Coefficient of variation (CV)0.5835675387
Kurtosis4.934425692
Mean2.31147541
Median Absolute Deviation (MAD)1
Skewness1.816385885
Sum282
Variance1.819536648
MonotonicityNot monotonic
2025-03-05T09:51:05.299955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 42
25.9%
1 36
22.2%
3 29
17.9%
4 9
 
5.6%
8 2
 
1.2%
5 2
 
1.2%
6 1
 
0.6%
7 1
 
0.6%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 36
22.2%
2 42
25.9%
3 29
17.9%
4 9
 
5.6%
5 2
 
1.2%
ValueCountFrequency (%)
8 2
 
1.2%
7 1
 
0.6%
6 1
 
0.6%
5 2
 
1.2%
4 9
5.6%

F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They really want to enjoy life. Having a good time is very important to them

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.803278689
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:05.547505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5.95
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.59875646
Coefficient of variation (CV)0.570316632
Kurtosis1.117853715
Mean2.803278689
Median Absolute Deviation (MAD)1
Skewness0.9323509731
Sum342
Variance2.556022219
MonotonicityNot monotonic
2025-03-05T09:51:05.803999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 33
20.4%
3 29
17.9%
4 25
15.4%
2 22
13.6%
5 6
 
3.7%
6 4
 
2.5%
8 3
 
1.9%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 33
20.4%
2 22
13.6%
3 29
17.9%
4 25
15.4%
5 6
 
3.7%
ValueCountFrequency (%)
8 3
 
1.9%
6 4
 
2.5%
5 6
 
3.7%
4 25
15.4%
3 29
17.9%

F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to be humble and modest. They try not to draw to themself

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.172131148
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:06.065740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.704115693
Coefficient of variation (CV)0.5372147664
Kurtosis0.2429534736
Mean3.172131148
Median Absolute Deviation (MAD)1
Skewness0.7044745834
Sum387
Variance2.904010297
MonotonicityNot monotonic
2025-03-05T09:51:06.322084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 32
19.8%
4 26
16.0%
1 21
13.0%
5 17
10.5%
3 17
10.5%
6 5
 
3.1%
8 4
 
2.5%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 21
13.0%
2 32
19.8%
3 17
10.5%
4 26
16.0%
5 17
10.5%
ValueCountFrequency (%)
8 4
 
2.5%
6 5
 
3.1%
5 17
10.5%
4 26
16.0%
3 17
10.5%

F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: They always want to be the one who makes the decisions. They like to be the leader

Distinct8
Distinct (%)6.6%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean3.049586777
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:06.565928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.667589276
Coefficient of variation (CV)0.5468246678
Kurtosis0.4432832559
Mean3.049586777
Median Absolute Deviation (MAD)1
Skewness0.8301838001
Sum369
Variance2.780853994
MonotonicityNot monotonic
2025-03-05T09:51:06.821682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 31
19.1%
2 28
17.3%
1 23
14.2%
5 16
 
9.9%
4 14
 
8.6%
6 5
 
3.1%
8 3
 
1.9%
7 1
 
0.6%
(Missing) 41
25.3%
ValueCountFrequency (%)
1 23
14.2%
2 28
17.3%
3 31
19.1%
4 14
8.6%
5 16
9.9%
ValueCountFrequency (%)
8 3
 
1.9%
7 1
 
0.6%
6 5
 
3.1%
5 16
9.9%
4 14
8.6%

F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know. Answer: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct7
Distinct (%)5.7%
Missing40
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean2.450819672
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:07.317640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.585588292
Coefficient of variation (CV)0.6469624469
Kurtosis2.275172115
Mean2.450819672
Median Absolute Deviation (MAD)1
Skewness1.438332066
Sum299
Variance2.514090232
MonotonicityNot monotonic
2025-03-05T09:51:07.561366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 42
25.9%
2 31
19.1%
3 27
16.7%
5 8
 
4.9%
4 8
 
4.9%
8 3
 
1.9%
6 3
 
1.9%
(Missing) 40
24.7%
ValueCountFrequency (%)
1 42
25.9%
2 31
19.1%
3 27
16.7%
4 8
 
4.9%
5 8
 
4.9%
ValueCountFrequency (%)
8 3
 
1.9%
6 3
 
1.9%
5 8
 
4.9%
4 8
 
4.9%
3 27
16.7%

interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct149
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1537.602222
Minimum0
Maximum18782.4
Zeros14
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:07.866675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1609.7125
median1037.565
Q31486.145
95-th percentile4319.406
Maximum18782.4
Range18782.4
Interquartile range (IQR)876.4325

Descriptive statistics

Standard deviation2341.283187
Coefficient of variation (CV)1.522684576
Kurtosis25.49860001
Mean1537.602222
Median Absolute Deviation (MAD)437.055
Skewness4.568563879
Sum249091.56
Variance5481606.962
MonotonicityNot monotonic
2025-03-05T09:51:08.220740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
8.6%
62.38 1
 
0.6%
5201.44 1
 
0.6%
2580.13 1
 
0.6%
1113.17 1
 
0.6%
1357.14 1
 
0.6%
1426.3 1
 
0.6%
1259.2 1
 
0.6%
2894.35 1
 
0.6%
3512.91 1
 
0.6%
Other values (139) 139
85.8%
ValueCountFrequency (%)
0.0 14
8.6%
8.21 1
 
0.6%
12.38 1
 
0.6%
15.04 1
 
0.6%
15.54 1
 
0.6%
ValueCountFrequency (%)
18782.4 1
0.6%
14053.0 1
0.6%
11722.3 1
0.6%
9860.19 1
0.6%
9094.49 1
0.6%

GT_A00
Real number (ℝ)

Missing 

nan

Distinct146
Distinct (%)98.6%
Missing14
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean74.93290541
Minimum5.05
Maximum1437.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:08.554393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.05
5-th percentile10.0915
Q115.855
median22.775
Q354.1875
95-th percentile297.183
Maximum1437.38
Range1432.33
Interquartile range (IQR)38.3325

Descriptive statistics

Standard deviation195.8623263
Coefficient of variation (CV)2.613836008
Kurtosis35.2283471
Mean74.93290541
Median Absolute Deviation (MAD)10.95
Skewness5.772264796
Sum11090.07
Variance38362.05087
MonotonicityNot monotonic
2025-03-05T09:51:08.891654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.31 2
 
1.2%
18.21 2
 
1.2%
306.58 1
 
0.6%
20.69 1
 
0.6%
20.24 1
 
0.6%
12.95 1
 
0.6%
9.55 1
 
0.6%
54.14 1
 
0.6%
44.25 1
 
0.6%
14.8 1
 
0.6%
Other values (136) 136
84.0%
(Missing) 14
 
8.6%
ValueCountFrequency (%)
5.05 1
0.6%
7.97 1
0.6%
8.21 1
0.6%
9.15 1
0.6%
9.55 1
0.6%
ValueCountFrequency (%)
1437.38 1
0.6%
1306.99 1
0.6%
1288.2 1
0.6%
419.47 1
0.6%
373.58 1
0.6%

GT_A01
Real number (ℝ)

Missing 

nan

Distinct139
Distinct (%)100.0%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean135.7782734
Minimum27.97
Maximum9064.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:09.244568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum27.97
5-th percentile35.117
Q148.935
median65.57
Q383.63
95-th percentile152.022
Maximum9064.77
Range9036.8
Interquartile range (IQR)34.695

Descriptive statistics

Standard deviation763.6219453
Coefficient of variation (CV)5.624036352
Kurtosis138.4155047
Mean135.7782734
Median Absolute Deviation (MAD)17.14
Skewness11.75309724
Sum18873.18
Variance583118.4753
MonotonicityNot monotonic
2025-03-05T09:51:09.582348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.25 1
 
0.6%
55.85 1
 
0.6%
95.6 1
 
0.6%
85.16 1
 
0.6%
73.1 1
 
0.6%
74.16 1
 
0.6%
96.07 1
 
0.6%
192.66 1
 
0.6%
72.94 1
 
0.6%
42.1 1
 
0.6%
Other values (129) 129
79.6%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
27.97 1
0.6%
28.25 1
0.6%
28.27 1
0.6%
30.46 1
0.6%
32.73 1
0.6%
ValueCountFrequency (%)
9064.77 1
0.6%
235.01 1
0.6%
195.28 1
0.6%
194.07 1
0.6%
192.78 1
0.6%

GT_R
Real number (ℝ)

Missing 

nan

Distinct138
Distinct (%)99.3%
Missing23
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean26.58388489
Minimum2.59
Maximum206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:09.911288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.59
5-th percentile13.043
Q117.08
median21.82
Q330.8
95-th percentile47.745
Maximum206
Range203.41
Interquartile range (IQR)13.72

Descriptive statistics

Standard deviation22.14433982
Coefficient of variation (CV)0.8329986349
Kurtosis42.77925598
Mean26.58388489
Median Absolute Deviation (MAD)5.86
Skewness5.918081866
Sum3695.16
Variance490.3717862
MonotonicityNot monotonic
2025-03-05T09:51:10.275432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.96 2
 
1.2%
26.39 1
 
0.6%
23.59 1
 
0.6%
15.74 1
 
0.6%
37.2 1
 
0.6%
31.77 1
 
0.6%
32.17 1
 
0.6%
17.04 1
 
0.6%
22.63 1
 
0.6%
42.98 1
 
0.6%
Other values (128) 128
79.0%
(Missing) 23
 
14.2%
ValueCountFrequency (%)
2.59 1
0.6%
8.32 1
0.6%
8.81 1
0.6%
10.44 1
0.6%
11.16 1
0.6%
ValueCountFrequency (%)
206.0 1
0.6%
169.33 1
0.6%
62.24 1
0.6%
53.27 1
0.6%
50.43 1
0.6%

GT_B
Real number (ℝ)

Missing 

nan

Distinct136
Distinct (%)100.0%
Missing26
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean207.9711029
Minimum47.65
Maximum11358.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:10.644580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum47.65
5-th percentile65.08
Q185.73
median104.075
Q3136.7975
95-th percentile273.1575
Maximum11358.3
Range11310.65
Interquartile range (IQR)51.0675

Descriptive statistics

Standard deviation966.3424367
Coefficient of variation (CV)4.646522633
Kurtosis134.2092757
Mean207.9711029
Median Absolute Deviation (MAD)22.65
Skewness11.5494322
Sum28284.07
Variance933817.705
MonotonicityNot monotonic
2025-03-05T09:51:10.993255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.95 1
 
0.6%
95.23 1
 
0.6%
72.13 1
 
0.6%
99.85 1
 
0.6%
86.46 1
 
0.6%
88.84 1
 
0.6%
164.27 1
 
0.6%
101.46 1
 
0.6%
271.76 1
 
0.6%
181.6 1
 
0.6%
Other values (126) 126
77.8%
(Missing) 26
 
16.0%
ValueCountFrequency (%)
47.65 1
0.6%
52.24 1
0.6%
54.15 1
0.6%
59.8 1
0.6%
61.87 1
0.6%
ValueCountFrequency (%)
11358.3 1
0.6%
706.1 1
0.6%
415.59 1
0.6%
319.88 1
0.6%
290.73 1
0.6%

GT_G
Real number (ℝ)

Missing 

nan

Distinct132
Distinct (%)99.2%
Missing29
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean152.3796241
Minimum30.59
Maximum1803.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:11.320334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum30.59
5-th percentile53.896
Q175.09
median93.97
Q3135
95-th percentile310.548
Maximum1803.75
Range1773.16
Interquartile range (IQR)59.91

Descriptive statistics

Standard deviation250.7027393
Coefficient of variation (CV)1.645251069
Kurtosis32.21665078
Mean152.3796241
Median Absolute Deviation (MAD)24.39
Skewness5.530891362
Sum20266.49
Variance62851.86352
MonotonicityNot monotonic
2025-03-05T09:51:11.672216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.38 2
 
1.2%
89.09 1
 
0.6%
253.51 1
 
0.6%
73.44 1
 
0.6%
98.42 1
 
0.6%
256.29 1
 
0.6%
152.89 1
 
0.6%
53.79 1
 
0.6%
91.07 1
 
0.6%
1801.2 1
 
0.6%
Other values (122) 122
75.3%
(Missing) 29
 
17.9%
ValueCountFrequency (%)
30.59 1
0.6%
33.88 1
0.6%
37.13 1
0.6%
46.54 1
0.6%
50.66 1
0.6%
ValueCountFrequency (%)
1803.75 1
0.6%
1801.2 1
0.6%
1417.26 1
0.6%
720.86 1
0.6%
687.98 1
0.6%

GT_F
Real number (ℝ)

Missing 

nan

Distinct125
Distinct (%)100.0%
Missing37
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean625.81344
Minimum10.98
Maximum11944.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:12.027172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum10.98
5-th percentile129.596
Q1250.63
median333.11
Q3530.74
95-th percentile1675.274
Maximum11944.8
Range11933.82
Interquartile range (IQR)280.11

Descriptive statistics

Standard deviation1378.884682
Coefficient of variation (CV)2.203347825
Kurtosis47.22428367
Mean625.81344
Median Absolute Deviation (MAD)111.02
Skewness6.561497784
Sum78226.68
Variance1901322.965
MonotonicityNot monotonic
2025-03-05T09:51:12.377202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
599.85 1
 
0.6%
368.3 1
 
0.6%
529.35 1
 
0.6%
767.32 1
 
0.6%
148.29 1
 
0.6%
262.72 1
 
0.6%
574.42 1
 
0.6%
459.65 1
 
0.6%
384.36 1
 
0.6%
434.37 1
 
0.6%
Other values (115) 115
71.0%
(Missing) 37
 
22.8%
ValueCountFrequency (%)
10.98 1
0.6%
15.26 1
0.6%
58.7 1
0.6%
78.68 1
0.6%
85.77 1
0.6%
ValueCountFrequency (%)
11944.8 1
0.6%
8956.53 1
0.6%
4434.85 1
0.6%
2873.24 1
0.6%
2358.97 1
0.6%

GT_T
Real number (ℝ)

Missing 

nan

Distinct122
Distinct (%)98.4%
Missing38
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean42.32701613
Minimum17.38
Maximum753.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:12.706967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum17.38
5-th percentile20.1245
Q126.505
median33.765
Q342.5675
95-th percentile64.6575
Maximum753.63
Range736.25
Interquartile range (IQR)16.0625

Descriptive statistics

Standard deviation66.73397064
Coefficient of variation (CV)1.57662828
Kurtosis107.2426327
Mean42.32701613
Median Absolute Deviation (MAD)7.65
Skewness10.06536844
Sum5248.55
Variance4453.422837
MonotonicityNot monotonic
2025-03-05T09:51:13.044296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.93 2
 
1.2%
25.39 2
 
1.2%
41.05 1
 
0.6%
22.19 1
 
0.6%
39.59 1
 
0.6%
35.0 1
 
0.6%
20.98 1
 
0.6%
27.12 1
 
0.6%
45.07 1
 
0.6%
34.57 1
 
0.6%
Other values (112) 112
69.1%
(Missing) 38
 
23.5%
ValueCountFrequency (%)
17.38 1
0.6%
17.47 1
0.6%
18.47 1
0.6%
19.5 1
0.6%
19.76 1
0.6%
ValueCountFrequency (%)
753.63 1
0.6%
174.29 1
0.6%
75.58 1
0.6%
73.82 1
0.6%
67.11 1
0.6%

GT_C
Real number (ℝ)

Missing 

nan

Distinct123
Distinct (%)100.0%
Missing39
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean280.2706504
Minimum33.46
Maximum17728.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:13.394623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum33.46
5-th percentile55.924
Q181.57
median112.36
Q3143.735
95-th percentile234.428
Maximum17728.1
Range17694.64
Interquartile range (IQR)62.165

Descriptive statistics

Standard deviation1597.868004
Coefficient of variation (CV)5.701160652
Kurtosis119.3476195
Mean280.2706504
Median Absolute Deviation (MAD)30.91
Skewness10.86070885
Sum34473.29
Variance2553182.158
MonotonicityNot monotonic
2025-03-05T09:51:13.740895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.7 1
 
0.6%
128.2 1
 
0.6%
235.04 1
 
0.6%
99.92 1
 
0.6%
62.58 1
 
0.6%
105.41 1
 
0.6%
117.16 1
 
0.6%
124.77 1
 
0.6%
146.21 1
 
0.6%
144.51 1
 
0.6%
Other values (113) 113
69.8%
(Missing) 39
 
24.1%
ValueCountFrequency (%)
33.46 1
0.6%
44.33 1
0.6%
44.8 1
0.6%
45.46 1
0.6%
50.69 1
0.6%
ValueCountFrequency (%)
17728.1 1
0.6%
2167.57 1
0.6%
418.73 1
0.6%
324.77 1
0.6%
320.79 1
0.6%

GT_D
Real number (ℝ)

Missing 

nan

Distinct119
Distinct (%)98.3%
Missing41
Missing (%)25.3%
Infinite0
Infinite (%)0.0%
Mean41.02661157
Minimum5.3
Maximum232.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:14.099262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile9.63
Q112.62
median18.04
Q366.46
95-th percentile110.02
Maximum232.38
Range227.08
Interquartile range (IQR)53.84

Descriptive statistics

Standard deviation40.40630278
Coefficient of variation (CV)0.9848803309
Kurtosis3.888305579
Mean41.02661157
Median Absolute Deviation (MAD)7.81
Skewness1.746091212
Sum4964.22
Variance1632.669304
MonotonicityNot monotonic
2025-03-05T09:51:14.677811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.27 2
 
1.2%
12.97 2
 
1.2%
19.9 1
 
0.6%
167.91 1
 
0.6%
12.82 1
 
0.6%
109.93 1
 
0.6%
66.82 1
 
0.6%
46.74 1
 
0.6%
12.62 1
 
0.6%
12.03 1
 
0.6%
Other values (109) 109
67.3%
(Missing) 41
 
25.3%
ValueCountFrequency (%)
5.3 1
0.6%
5.88 1
0.6%
6.64 1
0.6%
8.15 1
0.6%
8.7 1
0.6%
ValueCountFrequency (%)
232.38 1
0.6%
167.91 1
0.6%
147.58 1
0.6%
142.71 1
0.6%
128.55 1
0.6%

GT_M
Real number (ℝ)

Missing 

nan

Distinct119
Distinct (%)100.0%
Missing43
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean292.5707563
Minimum4.87
Maximum3480.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:15.017042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.87
5-th percentile103.575
Q1166.56
median207.15
Q3258.24
95-th percentile626.643
Maximum3480.03
Range3475.16
Interquartile range (IQR)91.68

Descriptive statistics

Standard deviation416.0949379
Coefficient of variation (CV)1.422202763
Kurtosis36.64197396
Mean292.5707563
Median Absolute Deviation (MAD)44.12
Skewness5.710703809
Sum34815.92
Variance173134.9974
MonotonicityNot monotonic
2025-03-05T09:51:15.351093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280.76 1
 
0.6%
307.7 1
 
0.6%
226.8 1
 
0.6%
338.67 1
 
0.6%
207.15 1
 
0.6%
175.5 1
 
0.6%
165.28 1
 
0.6%
171.84 1
 
0.6%
1751.38 1
 
0.6%
234.84 1
 
0.6%
Other values (109) 109
67.3%
(Missing) 43
 
26.5%
ValueCountFrequency (%)
4.87 1
0.6%
28.71 1
0.6%
46.77 1
0.6%
51.92 1
0.6%
65.71 1
0.6%
ValueCountFrequency (%)
3480.03 1
0.6%
2515.01 1
0.6%
1751.38 1
0.6%
1317.03 1
0.6%
967.79 1
0.6%

GT_I
Real number (ℝ)

Missing 

nan

Distinct119
Distinct (%)100.0%
Missing43
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean76.92386555
Minimum5.84
Maximum3105.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-03-05T09:51:15.696463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.84
5-th percentile9.217
Q133.78
median50.52
Q367.135
95-th percentile106.359
Maximum3105.97
Range3100.13
Interquartile range (IQR)33.355

Descriptive statistics

Standard deviation281.4064881
Coefficient of variation (CV)3.65824684
Kurtosis116.6216104
Mean76.92386555
Median Absolute Deviation (MAD)16.85
Skewness10.74692878
Sum9153.94
Variance79189.61152
MonotonicityNot monotonic
2025-03-05T09:51:16.040597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143.19 1
 
0.6%
105.0 1
 
0.6%
42.08 1
 
0.6%
62.73 1
 
0.6%
54.5 1
 
0.6%
65.29 1
 
0.6%
30.03 1
 
0.6%
67.37 1
 
0.6%
34.22 1
 
0.6%
56.61 1
 
0.6%
Other values (109) 109
67.3%
(Missing) 43
 
26.5%
ValueCountFrequency (%)
5.84 1
0.6%
5.89 1
0.6%
6.06 1
0.6%
7.85 1
0.6%
8.16 1
0.6%
ValueCountFrequency (%)
3105.97 1
0.6%
143.19 1
0.6%
135.8 1
0.6%
129.87 1
0.6%
123.74 1
0.6%